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Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid
diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven …
diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven …
Artificial intelligence in drug development
Drug development is a complex and time-consuming endeavor that traditionally relies on the
experience of drug developers and trial-and-error experimentation. The advent of artificial …
experience of drug developers and trial-and-error experimentation. The advent of artificial …
Institutional efforts to help academic researchers implement generative AI in research
J Liu, HV Jagadish - Harvard Data Science Review, 2024 - hdsr.mitpress.mit.edu
The scale and speed of the generative AI (artificial intelligence) revolution, while offering
unprecedented opportunities to advance science, is also challenging the traditional …
unprecedented opportunities to advance science, is also challenging the traditional …
[HTML][HTML] IUPHAR review–Data-driven computational drug repurposing approaches for opioid use disorder
Abstract Opioid Use Disorder (OUD) is a chronic and relapsing condition characterized by
the misuse of opioid drugs, causing significant morbidity and mortality in the United States …
the misuse of opioid drugs, causing significant morbidity and mortality in the United States …
The Promises and Perils of Foundation Models in Dermatology
Foundation models (FM), which are large-scale artificial intelligence (AI) models that can
complete a range of tasks, represent a paradigm shift in AI. These versatile models …
complete a range of tasks, represent a paradigm shift in AI. These versatile models …
How deep learning in antiviral molecular profiling identified anti-SARS-CoV-2 inhibitors
The integration of artificial intelligence (AI) into drug discovery has markedly advanced the
search for effective therapeutics. In our study, we employed a comprehensive computational …
search for effective therapeutics. In our study, we employed a comprehensive computational …
Targeting the Main Protease (Mpro, nsp5) by Growth of Fragment Scaffolds Exploiting Structure-Based Methodologies
N Altincekic, N Jores, F Löhr, C Richter… - ACS Chemical …, 2024 - ACS Publications
The main protease Mpro, nsp5, of SARS-CoV-2 (SCoV2) is one of its most attractive drug
targets. Here, we report primary screening data using nuclear magnetic resonance …
targets. Here, we report primary screening data using nuclear magnetic resonance …