[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
generative AI) are increasingly being investigated in the context of research and …

Strategies of Artificial intelligence tools in the domain of nanomedicine

H Mohammad, HW You, M Umapathi… - Journal of Drug Delivery …, 2023 - Elsevier
Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic
tools and therapies for a wide range of medical conditions. It encompasses a variety of …

Explainable artificial intelligence for drug discovery and development-a comprehensive survey

R Alizadehsani, SS Oyelere, S Hussain… - IEEE …, 2024 - ieeexplore.ieee.org
The field of drug discovery has experienced a remarkable transformation with the advent of
artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and …

Artificial intelligence in clinical pharmacology: a case study and scoping review of large language models and bioweapon potential

I Rubinic, M Kurtov, I Rubinic, R Likic… - British Journal of …, 2024 - Wiley Online Library
This paper aims to explore the possibility of employing large language models (LLMs)–a
type of artificial intelligence (AI)–in clinical pharmacology, with a focus on its possible …

Current ARTs, virologic failure, and implications for AIDS management: a systematic review

FET Foka, HT Mufhandu - Viruses, 2023 - mdpi.com
Antiretroviral therapies (ARTs) have revolutionized the management of human
immunodeficiency virus (HIV) infection, significantly improved patient outcomes, and …

Computer-aided drug design and synthesis of rhenium clotrimazole antimicrobial agents

Y Cortat, M Nedyalkova, K Schindler, P Kadakia… - Antibiotics, 2023 - mdpi.com
In the context of the global health issue caused by the growing occurrence of antimicrobial
resistance (AMR), the need for novel antimicrobial agents is becoming alarming. Inorganic …

TISBE: a public web platform for the consensus-based explainable prediction of developmental toxicity

F Mastrolorito, MV Togo, N Gambacorta… - Chemical Research …, 2024 - ACS Publications
Despite being extremely relevant for the protection of prenatal and neonatal health, the
developmental toxicity (Dev Tox) is a highly complex endpoint whose molecular rationale is …

Machine Learning in Drug Discovery: A critical review of applications and challenges

FC Udegbe, OR Ebulue, CC Ebulue… - Computer Science & IT …, 2024 - fepbl.com
This review critically examines the integration of Machine Learning (ML) in drug discovery,
highlighting its applications across target identification, hit discovery, lead optimization, and …

[HTML][HTML] Redefining healthcare with artificial intelligence (AI): the contributions of ChatGPT, Gemini, and Co-pilot

A Alhur - Cureus, 2024 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency,
characterized by the emergence of sophisticated language models such as ChatGPT …

Targeting VPS34 in autophagy: An update on pharmacological small-molecule compounds

Y Liu, Q Yang, S Chen, Z Li, L Fu - European Journal of Medicinal …, 2023 - Elsevier
VPS34 is well-known to be the unique member of the class III phosphoinositide 3-kinase
(PI3K) family, forming VPS34 complex 1 and complex 2, which are involved in several key …