Latest AI and machine learning research in fda general for healthcare professionals.
Synthetic data offer significant potential for cardiology research by enabling data sharing, preserving privacy, and supporting machine learning model development. By generating artificial patient records that reflect real-world distributions, synthetic data can accelerate clinical research, improve model performance for rare cardiovascular conditions, and facilitate transnational collaborations t...
Drug delivery using self-assembling drug-excipient nanoparticles offers a scalable strategy to improve the solubility, bioavailability, and biodistribution of poorly soluble therapeutics. However, progress in the development and translation of these materials has been limited by the lack of safe excipients capable of stabilizing drug-rich nanoparticles that allow for extrahepatic delivery. Here, w...
Modern pharmaceutical manufacturing increasingly relies on high-frequency, high-dimensional and dynamically evolving data. Traditional statistical too...
Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...
BACKGROUND: Continuous vital sign monitoring ensures early detection, prevents intensive care unit (ICU) admissions, and improves patient outcomes. Co...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecur...
Colorectal cancer (CRC) is molecularly and immunologically heterogeneous, contributing to variable treatment response. Because regulated cell death (R...
Fixed-dose Botulinum neurotoxin type A regimens ignore patient-specific variables, such as body weight, despite allometric principles governing the di...
Itaconic acid (IA), an important unsaturated dicarboxylic acid, finds wide applications in industry, medicine, food, and energy. Biotechnological prod...
Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transparency among U.S. Food and Drug Administration (FDA)...
Accurate protein family classification is essential since proteins within the same family share conserved structural domains and biochemical functions...
Drug repurposing offers a faster and less costly route to therapeutic development, yet its translational success remains constrained by a critical sci...
INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...
Plastic drinking straws are a visible single-use plastic product, yet selecting suitable substitutes remains challenging because literature-derived cl...
Drug repurposing offers a time-efficient strategy for identifying therapeutics against emerging pathogens such as SARS-CoV-2. In this study, we apply ...
State-level regulation of AI used for mental health is emerging in the absence of a federal framework. States are taking different approaches to regul...
Understanding gene regulation at single-cell resolution is crucial for unraveling development, disease, and cellular identity. We introduce single-cel...
Accurately identifying interactions between non-coding RNAs (ncRNAs) and drugs is crucial for elucidating drug mechanisms and advancing drug repositio...
BACKGROUND: The rapid emergence of artificial intelligence (AI) has outpaced its formal adoption in health care organizations, contributing to the eme...
BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...