Latest AI and machine learning research in fda general for healthcare professionals.
OBJECTIVE: To develop machine learning (ML) models to predict the probability at baseline of achieving low disease activity (LDA) and high health-related quality of life (HRQOL) in patients with psoriatic arthritis (PsA) or axial spondyloarthritis (axSpA) treated with secukinumab (SEC). METHODS: AQUILA is an ongoing multicenter, prospective, noninterventional study assessing the effectiveness and ...
BACKGROUND: Preservatives, widely used in food and skincare products, may influence prostate cancer (PCa) development. This study explores the effects of common preservatives, especially parabens, on PCa and their potential molecular associations via computational and database-based analyses. METHODS: This study identified potential preservative targets linked to prostate cancer through database s...
BACKGROUND: Artificial intelligence (AI) is reshaping research practices, yet its ethical implications remain under‑examined, particularly in cross‑na...
BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap...
The container-closure system (CCS), specifically the glass vial, plays a pivotal role in heat transfer during lyophilization, thereby influencing proc...
Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a leading cause of cancer mortality worldwide. Earl...
BACKGROUND: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screening programs across Europe face persistent workforce...
BACKGROUND: DNA sequence deep learning models can accurately predict epigenetic and transcriptional profiles, enabling analysis of gene regulation and...
Virtual screening has emerged as one of the most impactful in silico approaches for the identification of novel drug candidates, substantially reducin...
Conducting polymers (CPs) exhibit unique optoelectronic and bioactive properties, enabling the precise monitoring and modulation of complex physiologi...
This study aimed to evaluate the diagnostic performance of DentalMonitoring™ (DM) (Dental Monitoring SAS, Paris, France), an FDA-cleared AI-powered or...
BACKGROUND: Rotator cuff tears (RCTs) are a leading cause of shoulder pain. Magnetic resonance imaging (MRI) is the gold standard for diagnosis, but i...
Over the past decade, substantial research has focused on identifying cancer biomarkers using Raman spectroscopy. However, no commercial Raman-based d...
BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robu...
Recent innovations in skin microphysiological systems (MPSs) have gained momentum following regulatory advances such as the FDA Modernization Act 2.0 ...
Tumors display genomic and phenotypic heterogeneity, which holds prognostic significance and may influence therapy response. Radiographic imaging moda...
Absorption is the first and imperative step to understanding the pharmacokinetics (PK) and ADME (absorption, distribution, metabolism, and excretion) ...
Promoters are essential in transcriptional regulation, with the -10 and -35 boxes playing a critical role in determining their strength. Modulating th...
BACKGROUND: Identifying early pathobiological mechanisms associated with the onset and progression of heart failure (HF) could guide development of pr...
ETHNOPHARMACOLOGICAL RELEVANCE: According to the Traditional Chinese Medicine (TCM) tenet that "internal imbalances manifest externally," skin aging r...