Latest AI and machine learning research in clinical trials for healthcare professionals.
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safety, and tolerability of healthcare interventions in routine practice. The increasing digitalization of healthcare systems has enabled the generation of vast amounts of real-world data (RWD) from electronic medical records, claims databases, and digita...
BACKGROUND: Effective communication about clinical trials is essential, as low enrollment undermines scientific validity and contributes to health care inequities. However, recruitment remains a persistent challenge, particularly among older adults, minority populations, and individuals with limited health literacy. Although large language models (LLMs) show promise in understanding and generating...
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...
The twin green-digital transition (TGD) is a key pathway for firms to enhance resource efficiency, reduce pollution, and strengthen green competitiven...
Laser-induced breakdown spectroscopy (LIBS) is a versatile technique for characterizing materials and analyzing elements, but it is limited in its qua...
Rapid evaluation of existing building stocks is essential for reducing earthquake-related disaster risk, particularly in seismically vulnerable cities...
Ketamine has demonstrated rapid antidepressant efficacy in treatment-resistant depression (TRD), but clinical decision-making is challenging due to va...
BACKGROUND: Definitive chemoradiotherapy for head and neck squamous cell carcinomas (HNSCC) carries significant long-term toxicities, with elective ne...
BACKGROUND: As artificial intelligence (AI) has evolved through a series of discrete leaps, the Foundation model (FM) has demonstrated substantial pot...
Clinical translation of novel therapies can be hindered by heterogeneity-driven sample size inflation in late-stage trials. In acetaminophen-induced l...
BACKGROUND: Artificial intelligence (AI)-themed delusions are increasingly observed in psychotic-spectrum disorders, reflecting the incorporation of c...
PURPOSE: To develop and evaluate a glass-box, agentic-style radiology pipeline that separates perception from reasoning for auditable multiclass diagn...
Monoclonal proteins (M-proteins) serve as critical biomarkers for plasma cell dyscrasias, yet their unique physicochemical properties paradoxically co...
PURPOSE OF REVIEW: This review aims to synthesize and critically appraise the most impactful advances in radiotherapy (RT) for soft tissue sarcomas (S...
OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence...
PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamo...
Artificial intelligence (AI)-based screening tools show promise for early identification of chronic liver disease (CLD), yet their effectiveness in re...
BACKGROUND: Patients with cancer are at elevated risk of venous thromboembolism (VTE). While primary thromboprophylaxis reduces VTE incidence, it also...
BACKGROUND: Hemoglobin A1C (HbA1C) is the gold standard for assessing long-term glycemic control in people with diabetes. Increasing use of continuous...
The probiotics field, a historically popular yet scientifically debated discipline, is moving beyond a decades-long promotion of 'first-generation' fo...