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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2021 | 1 |
2023 | 3 |
2024 | 1 |
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Page 1
Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence.
Cancer Commun (Lond). 2024 Apr 2. doi: 10.1002/cac2.12530. Online ahead of print.
Cancer Commun (Lond). 2024.
PMID: 38566430
No abstract available.
Discovering Novel Prognostic Biomarkers of Hepatocellular Carcinoma using eXplainable Artificial Intelligence.
Gutierrez-Chakraborty E, Chakraborty D, Das D, Bai Y.
Gutierrez-Chakraborty E, et al. Among authors: chakraborty d.
bioRxiv [Preprint]. 2023 Nov 28:2023.11.27.568859. doi: 10.1101/2023.11.27.568859.
bioRxiv. 2023.
PMID: 38076789
Free PMC article.
Preprint.
Item in Clipboard
Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites.
Akinsemoyin A, Awolusi I, Chakraborty D, Al-Bayati AJ, Akanmu A.
Akinsemoyin A, et al. Among authors: chakraborty d.
Sensors (Basel). 2023 Jul 26;23(15):6690. doi: 10.3390/s23156690.
Sensors (Basel). 2023.
PMID: 37571475
Free PMC article.
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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable AI.
Chakraborty D, Gutierrez-Chakraborty E, Rodriguez-Aguayo C, Başağaoğlu H, Lopez-Berestein G, Amero P.
Chakraborty D, et al.
bioRxiv [Preprint]. 2023 Jul 26:2023.07.24.550346. doi: 10.1101/2023.07.24.550346.
bioRxiv. 2023.
PMID: 37546729
Free PMC article.
Updated.
Preprint.
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Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer.
Chakraborty D, Ivan C, Amero P, Khan M, Rodriguez-Aguayo C, Başağaoğlu H, Lopez-Berestein G.
Chakraborty D, et al.
Cancers (Basel). 2021 Jul 9;13(14):3450. doi: 10.3390/cancers13143450.
Cancers (Basel). 2021.
PMID: 34298668
Free PMC article.
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