An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

The business landscape is shaped and reshaped by the perceptions, stories, and needs of customers. Every interaction, whether ...

Drug discovery is a high-risk, high-cost endeavor, with over 90% of candidates failing in clinical development. A significant proportion of these failures stem from unresolved biopharmaceutic ...

Drug discovery is a high-risk, high-cost endeavor, with over 90% of candidates failing in clinical development. A significant proportion of these ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe mental illnesses, such as schizophrenia, bipolar disorder and psychotic ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...