This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Conclusions: The ML models based on 2- and 6-month culture conversion could accurately predict treatment outcomes for patients with MDR/RR-TB. ML models, particularly the artificial neural network ...

Abstract: The excessive use of antibiotics has contributed to the growing resistance of various microbial pathogens, prompting the exploration of alternatives such as antimicrobial peptides (AMPs).

Abstract: The absence of low-frequency (LF) components in seismic records leads to nonuniqueness in inversion, making the building of a reasonable LF model crucial for achieving high-precision ...

Sportsbooks have long been the primary platforms for sports betting. However, the rise of prediction markets has introduced a different option. Unlike traditional sportsbooks, prediction markets cover ...

Prediction markets act as a leading indicator for inflation data, a new report finds. Traders are incorporating Polymarket and Kalshi forecasts into their models. Prediction markets' accuracy is ...

Background: Despite substantial progress in biomarker research, Parkinson’s disease (PD) still lacks widely validated, easily deployable diagnostic tests for reliable early-stage detection, ...

Background: Diabetic foot ulcer (DFU) is a common and serious complication in patients with diabetes, which affects the quality of life greatly as well as brings high risk for mortality.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.