AI Medical Compendium

Advancing Global Drug Safety: Challenges and Future Perspectives in Pharmacovigilance.

Current pharmaceutical design Mar 12, 2026

Adverse Drug Reactions (ADRs) pose significant challenges to patient safety, healthcare systems, and public health worldwide. As the pharmaceutical landscape expands with complex therapies such as biologics and biosimilars, the need for robust pharma... read more

Machine Learning Algorithm for Nanomedicine: AI Curated Nanocarriers for Cancer Treatment.

Current pharmaceutical design Mar 12, 2026

Cancer remains a major global health challenge due to its genetic variability and intricate molecular mechanisms, which complicate the development of effective therapies. This review elucidates the integration of AI-driven methodologies in nanopartic... read more

A scalable framework for population-level precision health: Insights from sleep disorders.

Sleep medicine Mar 12, 2026

Assessing population-level risk patterns of sleep disorders is challenging. Many studies rely on hospital-based samples, which can be biased toward individuals with severe symptoms, or on polysomnography, which is costly and impractical for large-sca... read more

Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units.

Artificial intelligence in medicine Mar 12, 2026

BACKGROUND: Achieving safe glycemic targets in intensive care remains difficult due to rapidly changing physiology, treatment effects, and measurement noise. OBJECTIVE: We systematically review artificial-intelligence (AI) methods for ICU glycemic ma... read more

Novel cooking techniques and their impact on livestock meat quality: A comprehensive review of processing, eating, nutritional, and safety quality.

Meat science Mar 12, 2026

Traditional meat cooking methods, such as boiling, frying, and grilling, often lead to nutrient loss, reduced flavor, and microbiological safety risks. To enhance nutritional value and meet modern consumer demands, innovative technologies such as Ult... read more

Machine learning-based modeling for monitoring and predicting the detection rate and severity of pathogenic microorganisms in seafood.

International journal of food microbiology Mar 12, 2026

Pathogenic microbial contamination in seafood presents persistent risks to food safety and public health. Conventional monitoring methods frequently lack adequate sensitivity and specificity, particularly under dynamic environmental conditions. To ad... read more

Memristor-based neural network for dual-channel and temporal order memory with application in fault detection.

Neural networks : the official journal of the International Neural Network Society Mar 12, 2026

Most memristive circuits only consider single-channel memory, but dual-channel memory and temporal order memory are ignored. In this paper, a memristor-based circuit is proposed, which can realize dual-channel memory and temporal order memory. The de... read more

Advances in detecting category A biothreat agents: Toward symptom-driven sensing strategies.

Synthetic and systems biotechnology Mar 12, 2026

The rise of emerging technologies like synthetic biology and artificial intelligence has raised alarms about new forms of weaponized diseases, given their threat to life and societal economic burden. This underscores the critical role of developing s... read more

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study.

Journal of medical Internet research Mar 12, 2026

BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to undermine care quality and nurse well-being. Although digital health technologies have enhanced coordi... read more

Ageing phenotypes and behavioural determinants of health on age acceleration: the Cancer Survivors' Trajectories of Ageing Research (C*STAR) study protocol.

BMJ open Mar 12, 2026

INTRODUCTION: Age acceleration in survivors of breast cancer is a critical issue because cancer and its treatment can increase structural and numerical chromosomal aberrations, while simultaneously shortening telomere length and changing ageing pheno... read more

Artificial Intelligence Medical Compendium