Latest AI and machine learning research in bioterrorism for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT) in patients with anxiety disorders. Identifying potential responders in advance may help inform treatment planning and support clinical decision-making. Although a growing number of studies have applied AI techniques in this context, reported perfo...
Extreme heat and humidity pose an increasing threat to human health, labor productivity, and overall well-being, particularly in heat-vulnerable and rapidly urbanizing regions such as Rajshahi, Bangladesh. As rising temperatures and elevated humidity levels intensify exposure to heat stress, accurate forecasting has become essential for effective early warning systems and climate-resilient urban p...
Anatomic education is central to medical training and underpins safe clinical and surgical practice. Despite its importance, traditional methods of an...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymph...
Background: Radiotherapy (RT) is a cornerstone of multimodal treatment for rectal cancer (RC); yet, substantial interindividual variability in treatme...
Climate change is altering ecosystems, posing a risk of major impact for both human and animal health. Emerging zoonotic diseases, such as anthrax, ar...
BACKGROUND: The instantaneous neural response to prefrontal theta burst stimulation (TBS) may serve as predictive marker for antidepressant treatment ...
Adolescent suicide remains a critical public health issue in the United States, with complex, interrelated risk and protective factors operating acros...
The rapid integration of generative artificial intelligence (GenAI) into undergraduate nursing education has prompted significant debate regarding its...
Foundation models-large AI systems pretrained on broad, heterogeneous data-are transforming scientific discovery. These models (e.g., GPT, GenCast, Al...
The rise of emerging technologies like synthetic biology and artificial intelligence has raised alarms about new forms of weaponized diseases, given t...
Robotic-assisted bronchoscopy (RAB) is an emerging diagnostic and interventional technology which integrates thin-slice CT-based virtual airway recons...
Intracellular delivery of therapeutic biomolecules represents a fundamental prerequisite for cell-based therapies and precision medicine, yet existing...
BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present s...
Resting-state scalp electroencephalography (EEG) is a promising method for predicting patient outcomes of antidepressant treatments. Machine-learning-...
OBJECTIVES: We aimed to identify and map recent studies using high-frequency, time-series electronic patient-generated health data (ePGHD) to assess t...
BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers are expected to rise with the aging population. T...
BACKGROUND: Artificial intelligence (AI) is transforming nursing education by reshaping how knowledge is delivered, acquired, and applied. Synthesizin...
To assess the performance of an AI algorithm, an independent dataset is needed that matches the intended clinical claim and intended population (e.g.,...
Accurate rainfall classification is essential for Bangladesh, where monsoon variability strongly influences agriculture, water resource management, an...