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Meeting Trial Participants Where They Are: Decentralized Clinical Trials as a Patient-Centered Paradigm for Enhancing Accrual and Diversity in Surgical and Multidisciplinary Trials in Oncology |
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| Taiwo Adesoye, Matthew H.G. Katz, Anaeze C. Offodile |
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Artificial Intelligence in Pharmaceutical and Healthcare Research |
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| Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra, Mayuren Candasamy |
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| Big Data and Cognitive Computing. 2023; 7(1): 10 |
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Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
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| Fedor Galkin, Kirill Kochetov, Michelle Keller, Alex Zhavoronkov, Nancy Etcoff |
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| Aging. 2022; |
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Scaling up artificial intelligence to curb infectious diseases in Africa |
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| Idemudia Otaigbe |
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Expending the power of artificial intelligence in preclinical research: an overview |
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| A Diaconu, F D Cojocaru, I Gardikiotis, L Agrigoroaie, D M Furcea, A Pasat, G Suciu, C Rezus, G Dodi |
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| IOP Conference Series: Materials Science and Engineering. 2022; 1254(1): 012036 |
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Viral informatics: bioinformatics-based solution for managing viral infections |
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| Sanjay Kumar, Geethu S Kumar, Subhrangsu Sundar Maitra, Petr Malý, Shiv Bharadwaj, Pradeep Sharma, Vivek Dhar Dwivedi |
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| Briefings in Bioinformatics. 2022; |
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Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes |
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| Jingtong Huang, Andrea M. Yeung, David G. Armstrong, Ashley N. Battarbee, Jorge Cuadros, Juan C. Espinoza, Samantha Kleinberg, Nestoras Mathioudakis, Mark A. Swerdlow, David C. Klonoff |
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| Journal of Diabetes Science and Technology. 2022; : 1932296822 |
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How can artificial intelligence optimize value-based contracting? |
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| Jose Luis Poveda, Rosa Bretón-Romero, Carlos Del Rio-Bermudez, Miren Taberna, Ignacio H. Medrano |
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| Journal of Pharmaceutical Policy and Practice. 2022; 15(1) |
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