Latest AI and machine learning research in fda general for healthcare professionals.
It is well-known that drug development is challenging and a time- and resource-intensive endeavor. Historically, it has relied heavily on trial-and-error, empirical approaches that yield a low probability of success. Despite continuous efforts to improve efficiency across the development stages the overall success rate from clinical trial initiation to market approval remains low. In response to t...
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with systemic therapies offering only limited benefit. Sorafenib, the first-line multi-kinase inhibitor, is constrained by poor pharmacokinetics, dose-limiting toxicities, and the rapid emergence of resistance. Nanotechnology-based drug delivery systems (NDDS) provide promising strategies to address these...
To ensure the operational safety of trains, it is essential to monitor the condition of the rails. In order to detect problems ranging from wear and t...
Solid-state nanochannels, as an emerging single-molecule sensing platform, have shown great potential in environmental monitoring, biomedical diagnost...
The evolution of RNA-based therapies is bringing in a new era for the pharmaceutical industry. As a result of their crucial role in regulation of gene...
OBJECTIVES: This study aimed to investigate the impacts of chronic diseases such as hypertension, dyslipidaemia and diabetes on personal and household...
AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire ...
BACKGROUND: Protein lactylation is a novel post-translational modification driven by lactate and has emerged as a critical link between cellular metab...
OBJECTIVES: Artificial intelligence (AI) has been applied in a number of breast screening settings with favourable results. While there are a limited ...
Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnostic precision, procedural quality, and operational ...
INTRODUCTION: Drug-loaded nanofibrous systems represent a breakthrough in drug delivery, overcoming limitations of conventional formulations. They dem...
BACKGROUND.—: Cardiovascular risk estimation for life insurance underwriting relies on risk estimation from conventional metrics: age, sex, smoking st...
Image Quality Assessment (IQA) plays a critical role in image-based decision-making systems, especially in domains requiring high diagnostic precision...
Prepared aquatic foods refer to ready to eat, heat, cook, and use aquatic products. These foods are gaining popularity as a result of consumer prefere...
INTRODUCTION: Deep learning is reshaping stroke research by accelerating drug repurposing amid heterogeneous pathology, narrow therapeutic windows, an...
Vascular Cognitive Impairment and Dementia (VCID), the second most common form of dementia, is becoming increasingly prevalent worldwide. However, cur...
Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biol...
The study introduces an innovative approach for efficient vital signs monitoring in acupuncture by combining multi-channel ballistocardiogram (BCG) si...
Artificial intelligence (AI) continues to enhance surgical care, with growing applications in craniofacial surgery, including automated cephalometric ...
OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...