The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges

C Chakraborty, M Bhattacharya, SS Lee… - Molecular Therapy …, 2024 - pmc.ncbi.nlm.nih.gov
Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug
discovery has come to the forefront. It reduces the time and expenditure. Due to these …

The changing scenario of drug discovery using artificial intelligence (AI) to deep learning (DL): Recent advancement, success stories, collaborations, and challenges

C Chakraborty, M Bhattacharya, SS Lee… - … Therapy-Nucleic Acids, 2024 - cell.com
Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug
discovery has come to the forefront. It reduces the time and expenditure. Due to these …

International comparison of pharmaceutical industry payment disclosures in the UK and Japan: implications for self-regulation, public regulation, and transparency

P Ozieranski, H Saito, E Rickard, S Mulinari… - Globalization and …, 2023 - Springer
Background Self-regulation of payment disclosure by pharmaceutical industry trade groups
is a major global approach to increasing transparency of financial relationships between …

Advancing precision medicine: A review of innovative In Silico approaches for drug development, clinical pharmacology and personalized healthcare

L Marques, B Costa, M Pereira, A Silva, J Santos… - Pharmaceutics, 2024 - mdpi.com
The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …

Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease

F Cheng, F Wang, J Tang, Y Zhou, Z Fu, P Zhang… - Cell Reports …, 2024 - cell.com
The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia
(ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit …

Multimodal single-cell omics analysis identifies epithelium–immune cell interactions and immune vulnerability associated with sex differences in COVID-19

Y Hou, Y Zhou, MU Gack, JD Lathia… - … and Targeted Therapy, 2021 - nature.com
Sex differences in the susceptibility of SARS-CoV-2 infection and severity have been
controversial, and the underlying mechanisms of COVID-19 in a sex-specific manner remain …

COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

W Li, M Kim, K Zhang, H Chen, X Jiang, A Harmanci - Genome Biology, 2023 - Springer
Growing regulatory requirements set barriers around genetic data sharing and
collaborations. Moreover, existing privacy-aware paradigms are challenging to deploy in …

Collaborative dynamics in open source software development: Unveiling the influence of team interaction and the role of project manager

S Pal, A Nair, Z Zuo - Journal of Operations Management, 2024 - Wiley Online Library
As the world becomes increasingly reliant on open‐source software (OSS) development
platforms, collaborative communication networks are becoming more complex, resulting in …

Single-cell sequencing reveals that specnuezhenide protects against osteoporosis via activation of METTL3 in LEPR+ BMSCs

J Wei, R Dong, Y Ma, J Wang, S Tian, X Tu, Z Mu… - European Journal of …, 2024 - Elsevier
Background Osteoporosis (OP) has garnered significant attention due to its substantial
morbidity and mortality rates, imposing considerable health burdens on societies worldwide …

Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China

X Liu, H Chen, Y Liu, J Zou, J Tian, T Tsomo, M Li… - Scientific Reports, 2024 - nature.com
Collaborative innovation between hospitals and biomedical enterprises is crucial for
ensuring breakthroughs in their development. This study explores the structural …