Drug Discovery and Clinical Trials

Articles published in this theme: 10 (scroll down to load remaining articles)

2026

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Trends in Venture Capital Investment in AI-Driven Biopharmaceutical Startups

Abhishek Bazaz, Yunan Ji, Mariana P Socal, So-Yeon Kang

J Med Internet Res 2026 (Feb 25); 28:e84968

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Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Samuel Kakraba, Edmund Fosu Agyemang, Robert J Shmookler Reis

JMIR AI 2026 (Jan 27); 5:e81552

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2025

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Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Samuel Kakraba, Srinivas Ayyadevara, Aayire Yadem Clement, Kuukua Egyinba Abraham, Cesar M Compadre, Robert J Shmookler Reis

JMIR AI 2025 (Dec 03); 4:e77890

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Evaluation of the Comparative Efficacy of Honey Thermal Microcautery, Standard Physiotherapy, and Sida cordifolia Oil via Nasal Administration in the Management of Frozen Shoulder: Protocol for a Randomized Controlled Trial

Shalini Pathania, Shweta Parwe, Punam Sawarkar, Milind Nisargandha

JMIR Res Protoc 2025 (Oct 10); 14:e64066

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Heterogeneous Network With Multiview Path Aggregation: Drug–Target Interaction Prediction Study Design

Haixue Zhao, Kui Yao, Yunjiong Liu, Chao Che, Lin Tang

JMIR Med Inform 2025 (Oct 02); 13:e74974

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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem

Sakshi Sardar, Cheryl D Coon, Scottie Kern, Huong Huynh, Diane Stephenson, Joshua Rubin Abrams, Grace V Lee, Cecile Ollivier, Joseph A Hedrick, Martijn LTM Müller, Luc J W Evers, Lada Leyens, Collin Hovinga, Shu Chin Ma, Klaus Romero

J Med Internet Res 2025 (Jul 31); 27:e67052

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Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon

JMIR AI 2025 (May 05); 4:e64845

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2024

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Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

Jay G Ronquillo, Jamie Ye, Donal Gorman, Adina R Lemeshow, Stephen J Watt

JMIR Med Inform 2024 (Sep 30); 12:e64143

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Diagnostic Accuracy of a Mobile AI-Based Symptom Checker and a Web-Based Self-Referral Tool in Rheumatology: Multicenter Randomized Controlled Trial

Johannes Knitza, Koray Tascilar, Franziska Fuchs, Jacob Mohn, Sebastian Kuhn, Daniela Bohr, Felix Muehlensiepen, Christina Bergmann, Hannah Labinsky, Harriet Morf, Elizabeth Araujo, Matthias Englbrecht, Wolfgang Vorbrüggen, Cay-Benedict von der Decken, Stefan Kleinert, Andreas Ramming, Jörg H W Distler, Peter Bartz-Bazzanella, Nicolas Vuillerme, Georg Schett, Martin Welcker, Axel Hueber

J Med Internet Res 2024 (Jul 23); 26:e55542

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2023

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Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Matthew-David Ogbechie, Christa Fischer Walker, Mu-Tien Lee, Amina Abba Gana, Abimbola Oduola, Augustine Idemudia, Matthew Edor, Emily Lark Harris, Jessica Stephens, Xiaoming Gao, Pai-Lien Chen, Navindra Etwaroo Persaud

JMIR AI 2023 (May 12); 2:e44432

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