His job is to reimagine the future of drugmaking using that similarly trendy branch of computer science, artificial ...

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 ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

Everyday life is saturated with location-dependent devices. They are multiplying faster than ever and their requirements have ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

The National Testing Agency (NTA) has issued the subject wise NEET 2026 syllabus on this website soon after the NMC released ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

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 ...

Background Azithromycin mass drug administration (MDA) to ages 1–59 months can reduce childhood mortality; however, more ...

Odejinmi, M. , Thompson, S. and Wastesicoot, D. (2025) Community-Led Transformation of the Housing and Education Systems by York Factory First Nation, Manitoba, Canada. Open Journal of Social Sciences ...