Citation: Ting Wang, Xifeng Qin, Yao Liu, Jianhui Tian, Zhiqing Pang. Artificial intelligence-driven personalized clinical decision-making and drug development in breast cancer[J]. Chinese Chemical Letters, ;2026, 37(9): 111956. doi: 10.1016/j.cclet.2025.111956 shu

Artificial intelligence-driven personalized clinical decision-making and drug development in breast cancer

Ting Wang ^a ,
Xifeng Qin ^a ,
Yao Liu ^b ,
Jianhui Tian ^{b, *,} ,
Zhiqing Pang ^{a, *,}

a.
School of Pharmacy, Key Laboratory of Smart Drug Delivery, Ministry of Education, Fudan University, Shanghai 201203, China
b.
Clinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China

tjhhawk@shutcm.edu.cn

zqpang@fudan.edu.cn

Received Date: 5 June 2025
Revised Date: 12 October 2025
Accepted Date: 13 October 2025
Available Online: 14 October 2025

Figures(11)

Breast cancer (BRCA) is a multifaceted and extremely diverse condition, with conventional diagnostic and therapeutic methods encountering considerable obstacles. With the increasing amount of medical data and the ongoing development of computer technologies, artificial intelligence (AI) has become widely used in BRCA medication research and clinical decision-making. Specifically, AI helps anticipate therapy responses, makes it easier to choose the best treatment regimens based on the molecular and pathological features of tumors, and allows for more accurate risk assessments for BRCA. AI is also essential to drug development, including the identification and prediction of novel therapeutic targets, the screening and prediction of compound structures, the repurposing of existing drugs, and the creation of combination treatments. From static assessments based on molecular subtypes to dynamic tracking of disease development, AI’s role in BRCA diagnosis and therapy has changed throughout time. It has transitioned from experience-based therapeutic approaches to data-driven clinical decision-making. In addition to improving patients’ quality of life, this shift is essential to turning cancer therapy into a "prevention-prediction-personalized" paradigm. This review article thoroughly examines the developments in AI applications for important fields such as molecular subtype identification, metastasis and recurrence prediction, BRCA risk stratification, and the creation of new medications. It delves deeper into current technological constraints and clinical translation pathways, emphasizing the need for advances in clinical applicability and technical standardization through tactics like large-scale multi-center clinical trials, innovative cross-modal data integration, and algorithmic architecture optimization.
- Artificial intelligence,
- Breast cancer,
- Personalized treatment,
- Clinical decision-making,
- Drug development
1. [1]
  C. Zhang, J. Xu, R. Tang, et al., J. Hematol. Oncol. 16 (2023) 114. doi: 10.1007/978-3-031-23950-2_13
2. [2]
  R. Gupta, D. Srivastava, M. Sahu, et al., Mol. Divers. 25 (2021) 1315–1360. doi: 10.1007/s11030-021-10217-3
3. [3]
  R.Y. Choi, A.S. Coyner, J. Kalpathy-Cramer, et al., Transl. Vis. Sci. Technol. 9 (2020) 14.
4. [4]
  S. Yan, J. Li, W. Wu, J. Cancer Res. Clin. Oncol. 149 (2023) 16179–16190. doi: 10.1007/s00432-023-05337-2
5. [5]
  J. Guo, J. Hu, Y. Zheng, et al., Br. J. Cancer 128 (2023) 2141–2149. doi: 10.1038/s41416-023-02215-z
6. [6]
  C. Zhang, L. Zhang, D. Yang, et al., Chin. Chem. Lett. (2025), doi:10.1016/j.cclet.2025.111828. doi: 10.1016/j.cclet.2025.111828
7. [7]
  H. Sung, J. Ferlay, R.L. Siegel, et al., CA Cancer J. Clin. 71 (2021) 209–249. doi: 10.3322/caac.21660
8. [8]
  Y. Gao, S. Ventura-Diaz, X. Wang, et al., Nat. Commun. 15 (2024) 9613. doi: 10.1038/s41467-024-53450-8
9. [9]
  R.L. Siegel, K.D. Miller, N.S. Wagle, A. Jemal, CA Cancer J. Clin. 73 (2023) 17–48. doi: 10.3322/caac.21763
10. [10]
  B.S. Chhikara, K. Parang, Chem. Biol. Lett. 10 (2023) 451.
11. [11]
  T. Li, Y. Zhang, S. Che, et al., Chin. Chem. Lett. 37 (2026) 111936 doi: 10.1016/j.cclet.2025.111936
12. [12]
  E. Nolan, G.J. Lindeman, J.E. Visvader, Cell. 186 (2023) 1708–1728. doi: 10.1016/j.cell.2023.01.040
13. [13]
  E.N. Bergstrom, A. Abbasi, M. Diaz-Gay, et al., J. Clin. Oncol. 42 (2024) 3550–3560. doi: 10.1200/jco.23.02641
14. [14]
  Z. Xiong, K. Liu, S. Liu, et al., BMC Cancer 24 (2024) 1204. doi: 10.1186/s12885-024-12980-6
15. [15]
  C. Boissin, Y. Wang, A. Sharma, et al., Breast Cancer Res. 26 (2024) 90. doi: 10.1186/s13058-024-01840-7
16. [16]
  S. Alaeikhanehshir, M.M. Voets, F.H. van Duijnhoven, et al., Cancer Imaging 24 (2024) 48. doi: 10.1186/s40644-024-00691-x
17. [17]
  S. Krishnamurthy, S.J. Schnitt, A. Vincent-Salomon, et al., JCO Precis. Oncol. 8 (2024) e2400353.
18. [18]
  Y. Guo, X. Xie, W. Tang, et al., Eur. Radiol. 34 (2024) 899–913.
19. [19]
  X. Chen, M. Li, X. Liang, D. Su, Medicine 103 (2024) e38513. doi: 10.1097/md.0000000000038513
20. [20]
  F. Marme, E. Krieghoff-Henning, B. Gerber, et al., Eur. J. Cancer 195 (2023) 113390. doi: 10.1016/j.ejca.2023.113390
21. [21]
  T. Zhu, Y.H. Huang, W. Li, et al., Int. J. Surg. 109 (2023) 3383–3394. doi: 10.1097/js9.0000000000000621
22. [22]
  Y. Yu, R. Chen, J. Yi, et al., Breast 77 (2024) 103786. doi: 10.1016/j.breast.2024.103786
23. [23]
  R. Cai, L. Deng, H. Zhang, H. Zhang, Q. Wu, Radiat. Oncol. 19 (2024) 63. doi: 10.1109/bdpc59998.2024.10649051
24. [24]
  R. Shahriarirad, S.M. Meshkati Yazd, R. Fathian, et al., Sci. Rep. 14 (2024) 1351. doi: 10.1038/s41598-024-51244-y
25. [25]
  H. Li, R.B. Liu, C.M. Long, et al., Cancer Rep. 7 (2024) e2006.
26. [26]
  Y. Yu, W. Ren, Z. He, et al., Breast Cancer Res. 25 (2023) 132. doi: 10.1186/s13058-023-01688-3
27. [27]
  J. Han, H. Hua, J. Fei, et al., Clin. Breast Cancer 24 (2024) 215–226. doi: 10.1016/j.clbc.2024.01.005
28. [28]
  Z. Xu, Y. Xie, L. Wu, et al., J. Magn. Reson. Imaging 58 (2023) 1580–1589. doi: 10.1002/jmri.28647
29. [29]
  A.C. Wolff, M.E.H. Hammond, K.H. Allison, et al., J. Clin. Oncol. 36 (2018) 2105–2122. doi: 10.1200/jco.2018.77.8738
30. [30]
  L. Liu, Z. Zhao, F. Zou, et al., Chin. Chem. Lett. 36 (2025) 111451. doi: 10.1016/j.cclet.2025.111451
31. [31]
  S. Modi, W. Jacot, T. Yamashita, et al., N. Engl. J. Med. 387 (2022) 9–20. doi: 10.1056/nejmoa2203690
32. [32]
  M. Wesoła, M. Jeleń, Adv. Clin. Exp. Med. 24 (2015) 899–903. doi: 10.17219/acem/27923
33. [33]
  H.C. Hwang, A.M. Gown, Methods Mol. Biol. 1406 (2016) 61–70. doi: 10.1007/978-1-4939-3444-7_5
34. [34]
  M. Liu, L. Xi, T. Tan, et al., Chin. Chem. Lett. 32 (2021) 1726–1730. doi: 10.1016/j.cclet.2020.11.072
35. [35]
  Y. Zhu, A.M. O’Connell, Y. Ma, et al., Eur. Radiol. 32 (2022) 2286–2300. doi: 10.1007/s00330-021-08178-0
36. [36]
  M.D. Ryser, D.L. Weaver, F. Zhao, et al., J. Natl. Cancer Inst. 111 (2019) 952–960. doi: 10.1093/jnci/djy220
37. [37]
  O. Ronneberger, P. Fischer, T. Brox, U-Net: convolutional networks for biomedical image segmentation, in: N. Navab, J. Hornegger, W. Wells, A.A. Frangi (Eds.), Proceedings of the MICCAI, Cham, Springer, 2015, pp. 234–241.
38. [38]
  R.L. Schilsky, D.L. Longo, N. Engl. J. Med. 387 (2022) 2107–2110. doi: 10.1056/nejmp2210638
39. [39]
  R. Prakash, Y. Zhang, W. Feng, M. Jasin, Cold Spring Harb. Perspect. Biol. 7 (2015) a016600. doi: 10.1101/cshperspect.a016600
40. [40]
  P.A. Ascierto, C. Bifulco, G. Palmieri, S. Peters, N. Sidiropoulos, J. Mol. Diagn. 21 (2019) 756–767. doi: 10.1016/j.jmoldx.2019.05.004
41. [41]
  C.W. Elston, I.O. Ellis, Histopathology 19 (1991) 403–410. doi: 10.1111/j.1365-2559.1991.tb00229.x
42. [42]
  H.J. Bloom, W.W. Richardson, Br. J. Cancer 11 (1957) 359–377. doi: 10.1038/bjc.1957.43
43. [43]
  E.A. Rakha, J.S. Reis-Filho, F. Baehner, et al., Breast Cancer Res. 12 (2010) 207. doi: 10.1186/bcr2607
44. [44]
  B. Acs, I. Fredriksson, C. Rönnlund, et al., Cancers 13 (2021) 1166. doi: 10.3390/cancers13051166
45. [45]
  C. van Dooijeweert, P.J. van Diest, S.M. Willems, et al., Int. J. Cancer 146 (2020) 769–780. doi: 10.1002/ijc.32330
46. [46]
  V. Lorgis, M.P. Algros, C. Villanueva, et al., Breast 20 (2011) 284–287. doi: 10.1016/j.breast.2010.12.007
47. [47]
  Y. Wang, B. Acs, S. Robertson, et al., Ann. Oncol. 33 (2022) 89–98. doi: 10.1016/j.annonc.2021.09.007
48. [48]
  B. Medeiros, A.L. Allan, Int. J. Mol. Sci. 20 (2019) 2272. doi: 10.3390/ijms20092272
49. [49]
  Y.Z. Zheng, X.M. Wang, L. Fan, Z.M. Shao, Oncologist 26 (2021) e241–e250. doi: 10.1002/onco.13567
50. [50]
  W. Voon, Y.C. Hum, Y.K. Tee, et al., Sci. Rep. 13 (2023) 20518. doi: 10.1038/s41598-023-46619-6
51. [51]
  A. Adam Maciejczyk, Adv. Clin. Exp. Med. 22 (2013) 5–15.
52. [52]
  F. Cardoso, L.J. van’t Veer, J. Bogaerts, et al., N. Engl. J. Med. 375 (2016) 717–729. doi: 10.1056/NEJMoa1602253
53. [53]
  H. Ishwaran, U.B. Kogalur, X. Chen, A.J. Minn, Stat. Anal. Data Min. ASA Data Sci. J. 4 (2011) 115–132. doi: 10.1002/sam.10103
54. [54]
  L. Breiman, Mach. Learn. 45 (2001) 5–32. doi: 10.1023/A:1010933404324
55. [55]
  K. Moorthy, M.S. Mohamad, Bioinformation 7 (2011) 142–146. doi: 10.6026/97320630007142
56. [56]
  M. Ram, A. Najafi, M.T. Shakeri, Iran. J. Pathol. 12 (2017) 339–347. doi: 10.30699/ijp.2017.27990
57. [57]
  H.S. Cody, Breast Cancer 6 (1999) 13–22. doi: 10.1007/BF02966901
58. [58]
  D. Krag, D. Weaver, T. Ashikaga, et al., N. Engl. J. Med. 339 (1998) 941–946. doi: 10.1056/NEJM199810013391401
59. [59]
  J.M. Johnson, R.K. Orr, S.R. Moline, Am. Surg. 67 (2001) 1030–1033. doi: 10.1177/000313480106701103
60. [60]
  E.E. Sanidas, E. de Bree, D.D. Tsiftsis, Am. J. Surg. 185 (2003) 202–210. doi: 10.1016/S0002-9610(02)01367-3
61. [61]
  T. Kuehn, I. Bauerfeind, T. Fehm, et al., Lancet Oncol. 14 (2013) 609–618. doi: 10.1016/S1470-2045(13)70166-9
62. [62]
  J.C. Boughey, V.J. Suman, E.A. Mittendorf, et al., JAMA 310 (2013) 1455–1461. doi: 10.1001/jama.2013.278932
63. [63]
  S.M. Bentzen, R.K. Agrawal, E.G. Aird, et al., Lancet Oncol. 9 (2008) 331–341. doi: 10.1016/S1470-2045(08)70077-9
64. [64]
  S.Ö. Arik, T. Pfister, in: Proceedings of the AAAI Conference on Artificial Intelligence, 35, 2021, pp. 6679–6687.
65. [65]
  E.W.S. Soares, H.M. Nagai, L.C. Bredt, et al., World J. Surg. Oncol. 12 (2014) 67. doi: 10.5209/rlog.58662
66. [66]
  K. Dinas, M. Kalder, L. Zepiridis, et al., Curr. Probl. Cancer 43 (2019) 100470. doi: 10.1016/j.currproblcancer.2019.02.002
67. [67]
  A. Husted Madsen, K. Haugaard, J. Soerensen, et al., Breast 17 (2008) 138–147. doi: 10.1016/j.breast.2007.08.006
68. [68]
  P. Del Bianco, G. Zavagno, P. Burelli, et al., Eur. J. Surg. Oncol. 34 (2008) 508–513. doi: 10.1016/j.ejso.2007.05.017
69. [69]
  A.I. Huppe, A.K. Mehta, R.F. Brem, Semin. Ultrasound CT MRI 39 (2018) 60–69. doi: 10.1053/j.sult.2017.10.001
70. [70]
  T.M. Kolb, J. Lichy, J.H. Newhouse, Radiology 225 (2002) 165–175. doi: 10.1148/radiol.2251011667
71. [71]
  D. Yue, M. Wang, F. Deng, et al., Chin. Chem. Lett. 29 (2018) 648–656. doi: 10.1016/j.cclet.2018.01.046
72. [72]
  D.J. Rhodes, C.B. Hruska, A.L. Conners, et al., AJR Am. J. Roentgenol. 204 (2015) 241–251. doi: 10.2214/AJR.14.13357
73. [73]
  L.R. Rechtman, M.J. Lenihan, J.H. Lieberman, et al., AJR Am. J. Roentgenol. 202 (2014) 293–298. doi: 10.2214/AJR.13.11585
74. [74]
  J. Villanueva-Meyer, M.H. Leonard, Jr., E. Briscoe, et al., J. Nucl. Med. 37 (1996) 926–930.
75. [75]
  J. Werner, J.A. Rapelyea, K.G. Yost, R.F. Brem, Breast J. 15 (2009) 579–582. doi: 10.1111/j.1524-4741.2009.00834.x
76. [76]
  B.T. Hennessy, G.N. Hortobagyi, R. Rouzier, et al., J. Clin. Oncol. 23 (2005) 9304–9311. doi: 10.1200/JCO.2005.02.5023
77. [77]
  B.T. Hennessy, A.M. Gonzalez-Angulo, G.N. Hortobagyi, et al., Cancer 106 (2006) 1000–1006. doi: 10.1002/cncr.21726
78. [78]
  W.J. Gradishar, M.S. Moran, J. Abraham, et al., J. Natl. Compr. Cancer Netw. 20 (2022) 691–722. doi: 10.6004/jnccn.2022.0030
79. [79]
  J. Li, J. Zhou, H. Wang, et al., JAMA Netw. Open 6 (2023) e2321388. doi: 10.1001/jamanetworkopen.2023.21388
80. [80]
  L.M. Spring, Y. Bar, S.J. Isakoff, J. Natl. Compr. Cancer Netw. 20 (2022) 723–734. doi: 10.6004/jnccn.2022.7016
81. [81]
  E.J. Diego, P.F. McAuliffe, A. Soran, et al., Ann. Surg. Oncol. 23 (2016) 1549–1553. doi: 10.1245/s10434-015-5052-8
82. [82]
  L.S. Dominici, V.M. Negron Gonzalez, A.U. Buzdar, et al., Cancer 116 (2010) 2884–2889. doi: 10.1002/cncr.25152
83. [83]
  J.C. Boughey, L.M. McCall, K.V. Ballman, et al., Ann. Surg. 260 (2014) 608–614. doi: 10.1097/SLA.0000000000000924
84. [84]
  M. Colleoni, Z. Sun, K.N. Price, et al., J. Clin. Oncol. 34 (2016) 927–35. doi: 10.1200/JCO.2015.62.3504
85. [85]
  A. Sparano Joseph, J. Gray Robert, F. Makower Della, et al., N. Engl. J. Med. 373 (2015) 2005–2014. doi: 10.1056/NEJMoa1510764
86. [86]
  W.J. Gradishar, B.O. Anderson, J. Abraham, et al., J. Natl. Compr. Cancer Netw. 18 (2020) 452–478. doi: 10.6004/jnccn.2020.0016
87. [87]
  E.A. Rakha, A. Abbas, P. Pinto Ahumada, et al., J. Clin. Pathol. 71 (2018) 802. doi: 10.1136/jclinpath-2017-204981
88. [88]
  E.A. Rakha, S. Martin, A.H.S. Lee, et al., Cancer 118 (2012) 3670–3680. doi: 10.1002/cncr.26711
89. [89]
  G. Houvenaeghel, M. Cohen, J.M. Classe, et al., ESMO Open 6 (2021) 100316. doi: 10.1016/j.esmoop.2021.100316
90. [90]
  Y.M. Zhong, F. Tong, J. Shen, BMC Cancer 22 (2022) 102. doi: 10.1186/s12885-022-09193-0
91. [91]
  A.S. Hamy, G.T. Lam, E. Laas, et al., Breast Cancer Res. Treat. 169 (2018) 295–304. doi: 10.1007/s10549-017-4610-0
92. [92]
  Z. Huang, Q. Peng, L. Mao, et al., MedComm Future Med. 4 (2025) e70013. doi: 10.1002/mef2.70013
93. [93]
  X. Li, C. Li, H. Wang, L. Jiang, M. Chen, PeerJ 12 (2024) e17683. doi: 10.7717/peerj.17683
94. [94]
  Y. Lin, J. Wang, M. Li, et al., Breast 76 (2024) 103737. doi: 10.1016/j.breast.2024.103737
95. [95]
  G. Zheng, J. Peng, Z. Shu, et al., J. Cancer Res. Clin. Oncol. 150 (2024) 147. doi: 10.1007/s00432-024-05680-y
96. [96]
  Z. Li, J. Gao, H. Zhou, et al., EBioMedicine 107 (2024) 105311. doi: 10.1016/j.ebiom.2024.105311
97. [97]
  A. Fanizzi, A. Latorre, D.A. Bavaro, et al., Cancer Med. 12 (2023) 20663–20669. doi: 10.1002/cam4.6512
98. [98]
  O. Falou, L. Sannachi, M. Haque, et al., Sci. Rep. 14 (2024) 2340. doi: 10.1038/s41598-024-52858-y
99. [99]
  J. Gu, X. Zhong, C. Fang, et al., Oncologist 29 (2024) e187–e197. doi: 10.1093/oncolo/oyad227
100. [100]
  X. Zheng, Z. Yao, Y. Huang, et al., Nat. Commun. 11 (2020) 1236. doi: 10.1038/s41467-020-15027-z
101. [101]
  Y. Xie, J. Zhang, Y. Xia, et al., Inf. Fusion 42 (2018) 102–110. doi: 10.1016/j.inffus.2017.10.005
102. [102]
  D. Fornvik, S. Borgquist, M. Larsson, et al., Eur. J. Radiol. 178 (2024) 111624. doi: 10.1016/j.ejrad.2024.111624
103. [103]
  S. Chen, K. Ma, Y. Zheng, ArXiv (2019), 10.48550/arXiv.1904.00625. doi: 10.48550/arXiv.1904.00625
104. [104]
  R.R. Selvaraju, M. Cogswell, A. Das, et al., Grad-CAM: visual explanations from deep networks via gradient-based localization, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 618–626.
105. [105]
  J. Adebayo, J. Gilmer, M. Muelly, et al., Sanity checks for saliency maps, in: Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018, pp. 9525–9536.
106. [106]
  D. Xing, Y. Lv, B. Sun, et al., Acad. Radiol. 31 (2024) 3524–3534. doi: 10.1016/j.acra.2024.03.035
107. [107]
  K. Saednia, W.T. Tran, A. Sadeghi-Naini, Med. Phys. 50 (2023) 7852–7864. doi: 10.1002/mp.16574
108. [108]
  W. Aswolinskiy, E. Munari, H.M. Horlings, et al., Breast Cancer Res. 25 (2023) 142. doi: 10.1186/s13058-023-01726-0
109. [109]
  M. Yoneyama, K. Zormpas-Petridis, R. Robinson, et al., Int. J. Radiat. Oncol. Biol. Phys. 120 (2024) 862–874. doi: 10.1016/j.ijrobp.2024.04.065
110. [110]
  E. Zhu, L. Zhang, Y. Liu, et al., Clin. Transl. Oncol. 26 (2024) 2584–2593. doi: 10.1007/s12094-024-03459-8
111. [111]
  S. Schrod, A. Schäfer, S. Solbrig, et al., Bioinformatics. 38 (2022) i60–i67. doi: 10.1093/bioinformatics/btac221
112. [112]
  S.R. Künzel, J.S. Sekhon, P.J. Bickel, B. Yu, Proc. Natl. Acad. Sci. USA. 116 (2019) 4156–4165. doi: 10.1073/pnas.1804597116
113. [113]
  S. Benzekry, M. Mastri, C. Nicolo, J.M.L. Ebos, PLoS Comput. Biol. 20 (2024) e1012088. doi: 10.1371/journal.pcbi.1012088
114. [114]
  X. Han, Y. Guo, H. Ye, et al., Breast Cancer Res. 26 (2024) 18. doi: 10.1186/s13058-024-01776-y
115. [115]
  E. Zhu, L. Zhang, J. Wang, et al., Breast Cancer Res. Treat. 205 (2024) 97–107. doi: 10.1007/s10549-023-07237-y
116. [116]
  K. Dell’Aquila, A. Vadlamani, T. Maldjian, et al., Breast Cancer Res. 26 (2024) 7. doi: 10.1186/s13058-023-01762-w
117. [117]
  Y. Tong, Z. Hu, H. Wang, et al., Eur. Radiol. 34 (2024) 5477–5486. doi: 10.1007/s00330-024-10609-7
118. [118]
  H. Zhu, H. Hu, B. Hao, et al., Technol. Cancer Res. Treat. 23 (2024) 15330338241263434. doi: 10.1177/15330338241263434
119. [119]
  M.E. Ritchie, B. Phipson, D. Wu, et al., Nucleic Acids Res. 43 (2015) e47. doi: 10.1093/nar/gkv007
120. [120]
  P. Langfelder, S. Horvath, BMC Bioinform. 9 (2008) 559. doi: 10.1186/1471-2105-9-559
121. [121]
  J. Friedman, T. Hastie, R. Tibshirani, J. Stat. Softw. 33 (2010) 1–22. doi: 10.1097/PRS.0b013e3181da8769
122. [122]
  R. Marshall. regplot: enhanced regression nomogram plot (Version 1.1) [Computer software] 2020. 10.32614/CRAN.package.regplot.
123. [123]
  H. Ma, L. Shi, J. Zheng, et al., BMC Cancer 24 (2024) 1222. doi: 10.1186/s12885-024-12952-w
124. [124]
  B. Wu, L. Li, L. Li, et al., Genes 15 (2024) 1093. doi: 10.3390/genes15081093
125. [125]
  M. Piffoux, J. Jacquemin, M. Petera, et al., Clin. Cancer Res. 30 (2024) 4654–4666. doi: 10.1158/1078-0432.ccr-24-0195
126. [126]
  J.A. Pogue, J. Harms, C.E. Cardenas, et al., Phys. Med. Biol. 69 (2024) 10.1088/1361-6560/ad4a1c. doi: 10.1088/1361-6560/ad4a1c
127. [127]
  U. Schulz, M. Busch, U. Bormann, Int. J. Radiat. Oncol. Biol. Phys. 10 (1984) 915–920. doi: 10.1016/0360-3016(84)90395-X
128. [128]
  M.J. Rivard, B.M. Coursey, L.A. DeWerd, et al., Med. Phys. 31 (2004) 633–674. doi: 10.1118/1.1646040
129. [129]
  C.M. Ma, J.S. Li, S.B. Jiang, et al., Phys. Med. Biol. 50 (2005) 891. doi: 10.1088/0031-9155/50/5/013
130. [130]
  S. Quetin, B. Bahoric, F. Maleki, S.A. Enger, Phys. Med. Biol. 69 (2024) 10.1088/1361-6560/ad3dbd. doi: 10.1088/1361-6560/ad3dbd
131. [131]
  L.C. Moore, F. Nematollahi, L. Li, et al., Med. Phys. 51 (2024) 7453–7463. doi: 10.1002/mp.17326
132. [132]
  T. Tsui, A. Podgorsak, J.C. Roeske, et al., J. Appl. Clin. Med. Phys. 25 (2024) e14461. doi: 10.1002/acm2.14461
133. [133]
  C. Boutry, N.N. Moreau, C. Jaudet, et al., Radiother. Oncol. 200 (2024) 110483. doi: 10.1016/j.radonc.2024.110483
134. [134]
  S. Cui, G. Li, H.C. Kuo, et al., J. Appl. Clin. Med. Phys. 25 (2024) e14216. doi: 10.1002/acm2.14216
135. [135]
  S. Zhang, B. Yang, H. Yang, et al., Sci. Bull. 69 (2024) 1748–1756. doi: 10.1016/j.scib.2024.03.061
136. [136]
  A. Maniscalco, E. Mathew, D. Parsons, et al., Med. Phys. 51 (2024) 3932–3949. doi: 10.1002/mp.17115
137. [137]
  Y. Mao, W. Di, D. Zong, et al., J. Appl. Clin. Med. Phys. 25 (2024) e14194. doi: 10.1002/acm2.14194
138. [138]
  M. Lepomäki, U. Karhunen-Enckell, J. Tuominen, et al., J. Surg. Oncol. 125 (2022) 577–588. doi: 10.1002/jso.26749
139. [139]
  C. Yeung, T. Ungi, Z. Hu, et al., Int. J. Comput. Assist. Radiol. Surg. 19 (2024) 1193–1201. doi: 10.1007/s11548-024-03133-y
140. [140]
  C. Apelian, F. Harms, O. Thouvenin, A.C. Boccara, Biomed. Opt. Express. 7 (2016) 1511–1524. doi: 10.1364/BOE.7.001511
141. [141]
  B. Dolega-Kozierowski, P. Kasprzak, M. Lis, et al., Breast Cancer Res. Treat. 202 (2023) 33–43. doi: 10.1007/s10549-023-07056-1
142. [142]
  G. Liang, W. Fan, H. Luo, X. Zhu, Biomed. Pharmacother. 128 (2020) 110255. doi: 10.1016/j.biopha.2020.110255
143. [143]
  M. Sufyan, Z. Shokat, U.A. Ashfaq, Comput. Biol. Med. 165 (2023) 107356. doi: 10.1016/j.compbiomed.2023.107356
144. [144]
  Q. Zhang, D. Chen, Drug Dev. Res. 85 (2024) e22223. doi: 10.1002/ddr.22223
145. [145]
  J. Alexander, K. Schipper, S. Nash, et al., Br. J. Cancer 130 (2024) 1828–1840. doi: 10.1038/s41416-024-02679-7
146. [146]
  X. Chen, J. Yi, L. Xie, et al., Front. Immunol. 15 (2024) 1470167. doi: 10.3389/fimmu.2024.1470167
147. [147]
  M.M. Rashid, K. Selvarajoo, Brief. Bioinform. 25 (2024) bbae300. doi: 10.1093/bib/bbae300
148. [148]
  S. Pawar, T.O. Liew, A. Stanam, C. Lahiri, Chem. Biol. Drug Des. 96 (2020) 995–1004. doi: 10.1111/cbdd.13672
149. [149]
  A.C. Kaushik, Z. Zhao, Front. Mol. Biosci. 10 (2023) 1215204. doi: 10.3389/fmolb.2023.1215204
150. [150]
  M. Kováčová, V. Hlavac, R. Kozevnikovova, et al., Oncology 102 (2024) 1029–1040. doi: 10.1159/000540395
151. [151]
  J. Fucikova, O. Kepp, L. Kasikova, et al., Cell Death Dis. 11 (2020) 1013. doi: 10.1038/s41419-020-03221-2
152. [152]
  A. Ahmed, S.W.G. Tait, Mol. Oncol. 14 (2020) 2994–3006. doi: 10.1002/1878-0261.12851
153. [153]
  K. Hayashi, F. Nikolos, Y.C. Lee, et al., Nat. Commun. 11 (2020) 6299. doi: 10.1038/s41467-020-19970-9
154. [154]
  H. Deng, W. Yang, Z. Zhou, et al., Nat. Commun. 11 (2020) 4951. doi: 10.1038/s41467-020-18745-6
155. [155]
  H. Ruan, B.J. Leibowitz, L. Zhang, J. Yu, Mol. Carcinog. 59 (2020) 783–793. doi: 10.1002/mc.23183
156. [156]
  P. Li, W. Wang, S. Wang, et al., Front. Immunol. 14 (2023) 1145481. doi: 10.3389/fimmu.2023.1145481
157. [157]
  D. Yang, L. Wang, P. Yuan, et al., Chin. Chem. Lett. 34 (2023) 107964. doi: 10.1016/j.cclet.2022.107964
158. [158]
  A. Keshavarzi Arshadi, M. Salem, H. Karner, et al., Patterns 5 (2024) 100909. doi: 10.1016/j.patter.2023.100909
159. [159]
  D. Das, B. Chakrabarty, R. Srinivasan, A. Roy, J. Chem. Inf. Model. 63 (2023) 1882–1893. doi: 10.1021/acs.jcim.2c01301
160. [160]
  T. Wen, J. Wang, R. Lu, et al., Eur. J. Med. Chem. 250 (2023) 115199. doi: 10.1016/j.ejmech.2023.115199
161. [161]
  A. Karampuri, S. Kundur, S. Perugu, Comput. Biol. Med. 174 (2024) 108433. doi: 10.1016/j.compbiomed.2024.108433
162. [162]
  Y. Gao, S. Chen, J. Tong, X. Fu, BMC Bioinform. 23 (2022) 382. doi: 10.1186/s12859-022-04913-6
163. [163]
  C. Cui, X. Ding, D. Wang, et al., Bioinformatics 37 (2021) 2930–2937. doi: 10.1093/bioinformatics/btab191
164. [164]
  A. Karampuri, B.K. Jakkula, S. Perugu, Sci. Rep. 14 (2024) 23949. doi: 10.1038/s41598-024-71076-0
165. [165]
  Z.Y. Li, Y.X. Zhu, J.R. Chen, et al., Biomed. Pharmacother. 162 (2023) 114661. doi: 10.1016/j.biopha.2023.114661
166. [166]
  S. Zhao, T. Nishimura, Y. Chen, et al., Sci. Transl. Med. 5 (2013) 206ra140.
167. [167]
  P. Csermely, T. Korcsmáros, H.J.M. Kiss, et al., Pharmacol. Ther. 138 (2013) 333–408. doi: 10.1016/j.pharmthera.2013.01.016
168. [168]
  J.A. Hill, R. Ammar, D. Torti, et al., PLos Genet. 9 (2013) e1003390. doi: 10.1371/journal.pgen.1003390
169. [169]
  A.D. Verderosa, R. Dhouib, Y. Hong, et al., Sci. Rep. 11 (2021) 1569. doi: 10.1038/s41598-021-81007-y
170. [170]
  P. Li, C. Huang, Y. Fu, et al., Bioinformatics 31 (2015) 2007–2016. doi: 10.1093/bioinformatics/btv080
171. [171]
  A. Mehmood, A.C. Kaushik, D.Q. Wei, J. Chem. Inf. Model. 64 (2024) 6421–6431. doi: 10.1021/acs.jcim.4c01101
172. [172]
  B. Ouyang, C. Shan, S. Shen, et al., Nat. Commun. 15 (2024) 7560. doi: 10.1038/s41467-024-51980-9
173. [173]
  W. Ji, S. She, C. Qiao, et al., Front. Pharmacol. 15 (2024) 1465890. doi: 10.3389/fphar.2024.1465890
174. [174]
  Y. Chen, B. Li, X. Chen, et al., Chin. Chem. Lett. 31 (2020) 1153–1158. doi: 10.1016/j.cclet.2019.06.022
175. [175]
  J. Zhu, Y. Xiong, X. Bai, et al., Chin. Chem. Lett. 36 (2025) 110799. doi: 10.1016/j.cclet.2024.110799
176. [176]
  A. Mehmood, M.S. Ali, D. Li, et al., Chem. Biol. Drug Des. 104 (2024) e14627. doi: 10.1111/cbdd.14627
177. [177]
  X. Wu, W. Li, H. Tu, Trends Cancer 10 (2024) 147–160. doi: 10.1016/j.trecan.2023.10.006
178. [178]
  V. Kilintzis, V. Kalokyri, H. Kondylakis, et al., Eur. Radiol. Exp. 8 (2024) 42. doi: 10.1186/s41747-024-00442-4
179. [179]
  A. Traverso, L. Wee, A. Dekker, R. Gillies, Int. J. Radiat. Oncol. Biol. Phys. 102 (2018) 1143–1158. doi: 10.1016/j.ijrobp.2018.05.053
180. [180]
  M. Pozzi, S. Noei, E. Robbi, et al., Sci. Rep. 14 (2024) 28435. doi: 10.1038/s41598-024-79602-w
181. [181]
  L. Marti-Bonmati, D.M. Koh, K. Riklund, et al., Insights Imaging 13 (2022) 89. doi: 10.1186/s13244-022-01220-9
182. [182]
  Y. Zhang, G. He, L. Ma, et al., Nat. Commun. 14 (2023) 5798. doi: 10.1109/cac59555.2023.10450167
183. [183]
  C. McCaffrey, C. Jahangir, C. Murphy, et al., Expert Rev. Mol. Diagn. 24 (2024) 363–377. doi: 10.1080/14737159.2024.2346545
184. [184]
  R. Colling, H. Pitman, K. Oien, et al., J. Pathol. 249 (2019) 143–150. doi: 10.1002/path.5310
185. [185]
  T. Sakamoto, T. Furukawa, K. Lami, et al., Transl. Lung Cancer Res. 9 (2020) 2255–2276. doi: 10.21037/tlcr-20-591
186. [186]
  A. Shmatko, N. Ghaffari Laleh, M. Gerstung, J.N. Kather, Nat. Cancer 3 (2022) 1026–1038. doi: 10.1038/s43018-022-00436-4
187. [187]
  Y.P. Zhang, X.Y. Zhang, Y.T. Cheng, et al., Mil. Med. Res. 10 (2023) 22.
188. [188]
  C.A. La Porta, S. Zapperi, Cell Rep. Med. 3 (2022) 100851. doi: 10.1016/j.xcrm.2022.100851
189. [189]
  L. Wang, K.J. Yoon, IEEE Trans. Pattern Anal. Mach. Intell. 44 (2022) 3048–3068. doi: 10.1109/tpami.2021.3055564
190. [190]
  M. Ma, Z. Gui, Z. Gao, B. Wang, Sensors 24 (2024) 4127. doi: 10.3390/s24134127
191. [191]
  J. Hu, Y. Jiang, L. Chen, et al., PLoS One 14 (2019) e0214587. doi: 10.1371/journal.pone.0214587
192. [192]
  M. Saha, M. Chakraborty, S. Maiti, D. Das, Neural Comput. Appl. 36 (2024) 20067–20087. doi: 10.1007/s00521-024-10298-9
193. [193]
  G. Işık, İ. Paçal, Neural Comput. Appl. 36 (2024) 12047–12059. doi: 10.1007/s00521-024-09767-y
194. [194]
  G.C.M. Siontis, R. Sweda, P.A. Noseworthy, et al., BMJ Health Care Inform. 28 (2021) e100466. doi: 10.1136/bmjhci-2021-100466
195. [195]
  B. Zhou, A. Khosla, A. Lapedriza, et al., Learning deep features for discriminative localization, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2921–2929.
196. [196]
  H.D.A. Dolk, H. Dalianis, T. Vakili, Evaluation of LIME and SHAP in explaining automatic ICD-10 classifications of Swedish gastrointestinal discharge summaries, in: Proceedings of the 18th Scandinavian Conference on Health informatics, 2022, pp. 166–173.
197. [197]
  D. Geleta, A. Nikolov, G. Edwards, et al., bioRxiv (2021), doi:10.1101/2021.10.28.466262. doi: 10.1101/2021.10.28.466262
198. [198]
  Y. Zhou, X. Shen, Z. He, et al., J. Theory Pract. Eng. Sci. 4 (2024) 45–51. doi: 10.53469/jtpes.2024.04(02).07
199. [199]
  B.H. Kann, A. Hosny, H.J.W.L. Aerts, Cancer Cell. 39 (2021) 916–927. doi: 10.1016/j.ccell.2021.04.002
200. [200]
  R. Zhang, Y. Lin, Y. Wu, et al., Brief. Bioinform. 25 (2024) bbae298. doi: 10.1093/bib/bbae298
201. [201]
  Z. Ding, L. Zhang, Y. Zhang, et al., J. Med. Internet Res. 27 (2025) e55046. doi: 10.2196/55046
202. [202]
  C. Corti, M. Cobanaj, E.C. Dee, et al., Cancer Treat. Rev. 112 (2023) 102498. doi: 10.1016/j.ctrv.2022.102498
203. [203]
  H. Alami, P. Lehoux, Y. Auclair, et al., J. Med. Internet Res. 22 (2020) e17707. doi: 10.2196/17707
204. [204]
  G. Chenais, E. Lagarde, C. Gil-Jardiné, J. Med. Internet Res. 25 (2023) e40031. doi: 10.2196/40031
205. [205]
  W.Z. Bu Qingfeng, Li Qi, He Chuting, et al., Soc. Med. Health Manag. 4 (2023), doi:10.23977/socmhm.2023.040209. doi: 10.23977/socmhm.2023.040209
206. [206]
  A. Brauneck, L. Schmalhorst, M.M. Kazemi Majdabadi, et al., J. Med. Internet Res. 25 (2023) e41588. doi: 10.2196/41588
207. [207]
  D. Froelicher, J.R. Troncoso-Pastoriza, J.L. Raisaro, et al., Nat. Commun. 12 (2021) 5910. doi: 10.1038/s41467-021-25972-y
208. [208]
  L. Carvalho Martins, E.A. Cino, R.S. Ferreira, J. Chem. Theory Comput. 17 (2021) 4262–4273. doi: 10.1021/acs.jctc.1c00194
209. [209]
  M.S. Hussain, P.S. Ramalingam, G. Chellasamy, et al., Clin. Breast Cancer 25 (2025) 406–421. doi: 10.1016/j.clbc.2025.03.006
210. [210]
  Q. Zeng, C. Chen, C. Chen, et al., Spectrochim. Acta Part A 286 (2023) 122000. doi: 10.1016/j.saa.2022.122000
211. [211]
  X. Ma, H. Cheng, J.W. Hou, et al., Chin. Opt. Lett. 18 (2020) 051701. doi: 10.3788/col202018.051701
212. [212]
  H. Yuan, Y. Chen, Y. Hu, et al., J. Pharm. Investig. 55 (2025) 889–902. doi: 10.1007/s40005-025-00731-z
213. [213]
  G. Khan, M.S. Hussain, S. Ahmad, et al., Naunyn-Schmiedeberg’s Arch. Pharmacol. 398 (2025) 13351–13370. doi: 10.1007/s00210-025-04234-4
214. [214]
  J. Pang, N. Ding, X. Liu, et al., Ann. Surg. Oncol. 32 (2025) 750–759. doi: 10.1245/s10434-024-16454-8
1. [1]
  Lijuan Liu , Zhihao Zhao , Feiwan Zou , Wukun Liu , Yunlong Lu . Advances in combination therapy for the treatment of estrogen receptor positive breast cancer. Chinese Chemical Letters, 2025, 36(10): 111451-. doi: 10.1016/j.cclet.2025.111451
2. [2]
  Bakr Ahmed Taha , Ali J. Addie , Luai Farhan Zghair Kolie , Saba Talib Wahhab , Sinan Adnan Abdulateef , Adawiya J. Haider , Khalid Ibnaouf , Norhana Arsad . Advancements in nanophotonics and smart nanomaterials integrated with artificial intelligence-driven gene editing: A paradigm shift in cancer diagnosis and therapeutic. Chinese Chemical Letters, 2026, 37(4): 111955-. doi: 10.1016/j.cclet.2025.111955
3. [3]
  Yunxin Li , Jinghui Zhang , Jisen Chen , Feng Zhu , Zhiqiang Liu , Peng Bao , Wei Shen , Sheng Tang . Detection of SARS-CoV-2 based on artificial intelligence-assisted smartphone: A review. Chinese Chemical Letters, 2024, 35(7): 109220-. doi: 10.1016/j.cclet.2023.109220
4. [4]
  Hang Xu , Shijie Lu , Yike Song , Jiale Zhou , Bin Shen , Yejun Zou , Zhuo Zhang , Yuzheng Zhao , Huifeng Wang . Artificial intelligence-driven multimodal image analyzer for genetically encoded fluorescence sensors on cell division metabolism dynamics. Chinese Chemical Letters, 2026, 37(8): 111757-. doi: 10.1016/j.cclet.2025.111757
5. [5]
  Keqiang Shi , Xiujuan Hong , Dongyan Xu , Tao Pan , Huiwen Wang , Hongru Feng , Cheng Guo , Yuanjiang Pan . Analysis of RNA modifications in peripheral white blood cells from breast cancer patients by mass spectrometry. Chinese Chemical Letters, 2025, 36(3): 110079-. doi: 10.1016/j.cclet.2024.110079
6. [6]
  Xinyue Han , Yunhan Yang , Jiayin Lu , Yuxiang Lin , Dongxue Zhang , Ling Lin , Liang Qiao . Efficient serum lipids profiling by TiO₂-dopamin-assisted MALDI-TOF MS for breast cancer detection. Chinese Chemical Letters, 2025, 36(5): 110183-. doi: 10.1016/j.cclet.2024.110183
7. [7]
  Lulu He , Le Wang , Zhen He , Yiqian Yang , Cheng Heng Pang , Aiguo Wu , Bencan Tang , Juan Li . An imine-linked covalent organic framework with intrinsic photo-induced mitochondrial regulation for breast cancer therapy. Chinese Chemical Letters, 2025, 36(9): 110717-. doi: 10.1016/j.cclet.2024.110717
8. [8]
  Jia Wang , Yunxiu Fan , Shilin Xu , Zhouxue Wu , Tian Hu , Yun Lu , Yue Li , Kang Xiong , Hongjun Deng , Jingrong Huang , Bo Yang , Shaozhi Fu . Self-propelled biomotors co-deliver doxorubicin liposomes and aPD-1 antibody to fight breast cancer. Chinese Chemical Letters, 2026, 37(2): 111607-. doi: 10.1016/j.cclet.2025.111607
9. [9]
  Guru Prasanna Sahoo , Tushar Kanti Rajwar , Jitu Halder , Ajit Mishra , Ritu Mahanty , Ivy Saha , Bibhanwita Satpathy , Rakesh Kumar Sahoo , Deepak Pradhan , Vineet Kumar Rai , Priyanka Dash , Chandan Das , Manoj Kumar Sarangi , Saroj Kumar Rout , Biswakanth Kar , Goutam Ghosh , Goutam Rath . Natural bioactive compounds loaded chitosan nanocarriers: A promising strategy for breast cancer therapy. Chinese Chemical Letters, 2026, 37(8): 111797-. doi: 10.1016/j.cclet.2025.111797
10. [10]
  Tingting Li , Yunchu Zhang , Siyao Che , Yuanyuan Zhang , Yin Wu , Weiling Zhuo , Xifeng Zhang , Wanyu Wang , Jiaqi Zheng , Xiang Gao , Yuzhu Hu , Ting Luo . Stimuli-responsive codelivery of apatinib and doxorubicin potentiates chemotherapy efficacy in breast cancer. Chinese Chemical Letters, 2026, 37(9): 111936-. doi: 10.1016/j.cclet.2025.111936
11. [11]
  Jiaojiao Yang , Shaokun Yang , Wei Cheng , Jie Wu , Haijing Qu , Han Chen , Zhiran Duan , Yuqing Pan , Ning Wang , Chao Wang , Jian Gao , Bai Xiang , Xiangdong Xue . Self-assembled cyclodextrin-porphyrin nanoplatform for synergistic chemo-phototherapy and targeted delivery of camptothecin against breast cancer. Chinese Chemical Letters, 2026, 37(4): 111901-. doi: 10.1016/j.cclet.2025.111901
12. [12]
  Jiangshan Xu , Weifei Zhang , Zhengwen Cai , Yong Li , Long Bai , Shaojingya Gao , Qiang Sun , Yunfeng Lin . Tetrahedron DNA nanostructure/iron-based nanomaterials for combined tumor therapy. Chinese Chemical Letters, 2024, 35(11): 109620-. doi: 10.1016/j.cclet.2024.109620
13. [13]
  Na Qin , Wenxin Guo , Fangxiu Li , Houfeng Zhang , Hong Liu , Chang Zhang , Lipiao Bao , Lei Liu , Muneerah Alomar , Siqi Zhao , Jian Zhang , Xing Lu . Recent advances in machine learning-driven discovery of alloy electrocatalysts for hydrogen evolution reaction. Chinese Chemical Letters, 2026, 37(3): 112021-. doi: 10.1016/j.cclet.2025.112021
14. [14]
  Jinlong Ren , Zhuang Li , Guangcun Shan , Wei Huang , Kunpeng Dou . AI-powered dissecting of carbohydrate isomers by a flexoelectric gated nanopore tweezer. Chinese Chemical Letters, 2026, 37(4): 111624-. doi: 10.1016/j.cclet.2025.111624
15. [15]
  Yajun Mao , Huchuan Yan , Keteng Li , Cui Lai , Xing Fan , Dengsheng Ma , Guangming Zeng , Lei Qin . Machine learning in electrocatalytic ammonia synthesis: A mini review on catalyst discovery and optimization. Chinese Chemical Letters, 2026, 37(9): 112440-. doi: 10.1016/j.cclet.2026.112440
16. [16]
  Qiyao Zhang , Yuting Li , Qishun Jin , Zhengwei Liu , Hongsong Chen , Jingqi Huang , Taoyi Liu , Xiaojuan Liu , Zhenghuai Tan , Shuheng Huang , Wu Dong , Zhipei Sang . Artificial intelligence-driven development of natural multi-target derivatives with BuChE inhibitory activity for treating Alzheimer’s disease. Chinese Chemical Letters, 2026, 37(1): 110964-. doi: 10.1016/j.cclet.2025.110964
17. [17]
  Zhi-Pei Sang , Teng Xue , Qian-Ru Xing , Qi-Yao Zhang , Hong-Song Chen , Xue Wang , Fu-Rong Zhang , Wen-Ling Fu , Wu Dong , Shu-Heng Huang , Yi-You Huang , Hai-Bin Luo . Discovery of α-mangostin derivatives as novel PDE4 inhibitors for the treatment of Alzheimer's disease: An artificial intelligence-driven synergized strategy. Chinese Chemical Letters, 2026, 37(5): 111318-. doi: 10.1016/j.cclet.2025.111318
18. [18]
  Chao Liu , Liming Gong , Yanhong Liu , Shuangqing Wang , Hao Wu , Liqing Chen , Mingji Jin , Zhonggao Gao , Wei Huang . Lipoic acid-locked reduction-responsive core-cross-linked micelles delivering paclitaxel for triple-negative breast cancer treatment. Chinese Chemical Letters, 2025, 36(8): 110570-. doi: 10.1016/j.cclet.2024.110570
19. [19]
  Jia Deng , Jianbin Shi , Dan Li , Xue Jiao , Jinrui Liu , Haowen Tian , Na Liu , Cong Luo , Ken-ichiro Kamei , Chutong Tian . Cancer-targeting drug conjugates drives a new era in precise cancer treatment. Chinese Chemical Letters, 2026, 37(2): 110960-. doi: 10.1016/j.cclet.2025.110960
20. [20]
  Jiliang Deng , Guoliang Shi , Zhihang Ye , Quan Xiao , Xiaoting Zhang , Lei Ren , Fangyu Yang , Miao Wang . Unveiling and swift diagnosing chronic wound healing with artificial intelligence assistance. Chinese Chemical Letters, 2025, 36(3): 110496-. doi: 10.1016/j.cclet.2024.110496

Get Citation

PDF

XML

Metrics

PDF Downloads(0)
Abstract views(11)
HTML views(0)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142