Latest AI and machine learning research in prescriptions for healthcare professionals.
BACKGROUND: ∼60%-70% of patients with metastatic non-small cell lung cancer (NSCLC) have relatively low tumor mutational burden (TMB), with limited biomarker-guided immunotherapy options beyond programmed death-ligand 1 (PD-L1) expression. APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) mutational signatures, defined by characteristic genomic footprints, are associated wi...
BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal burdens. Digital mental health interventions have emerged as accessible and scalable solutions, with artificial intelligence (AI)-driven chatbots increasingly applied to deliver therapeutic content, monitor symptoms, and provide personalized support. ...
Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatm...
Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...
Drug-induced lung injury (DLI) is a serious and potentially fatal adverse drug reaction that remains difficult to detect early and continues to challe...
BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...
To address technical challenges inherent in athlete pose estimation within complex sports scenarios-specifically the confusion of multi-person skeleta...
Voice phishing represents a rapidly evolving form of cyber-enabled financial fraud that exploits telecommunications networks to deceive victims. Tradi...
BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...
INTRODUCTION: Identifying disease-modifying drug targets is crucial for developing effective Alzheimer's disease (AD) treatments. METHODS: We present ...
Trypanosomatids, including the genera Trypanosoma and Leishmania, are protozoan parasites of significant medical and veterinary relevance. These organ...
Artificial intelligence (AI) is transforming drug discovery and development, fields historically constrained by long timelines, high costs, and substa...
BACKGROUND: Aortic coarctation (CoA) is a major cause of arterial hypertension in young individuals, with recurrence occurring in up to one-third of p...
BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...
A mechanism-guided framework for prioritizing membrane-interaction antimicrobial peptide candidates from proteomics-derived peptide mixtures is presen...
BACKGROUND: Disulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognostic implications in gastric cancer (GC) remain lar...
PURPOSE: The ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT) improves overall survival (OS) in metastatic horm...
BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...
Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be diagnosed easily until it spreads and is regarded a...
Triple-negative breast cancer (TNBC) is an oncology indication with urgent need for drug discovery and limited targeted therapies. This work benchmark...