Latest AI and machine learning research in fda general for healthcare professionals.
This paper examines the rise of clinical decision support algorithms used to assess risk in pain management and the opioid industry's influence on their development and implementation. To understand this influence, we conducted a qualitative study of documents related to the development of a tool that relied on artificial intelligence (AI) to suggest modifications in opioid prescribing, called Nar...
Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is challenging due to their vast sequence space. Artificial intelligence (AI)-guided design can accelerate HDP discovery, but it traditionally requires large data sets to operationalize. We report an AI workflow that utilizes limited data sets (∼100 peptides) to uncover potent, selective, and safe HDPs by...
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generalized immunosuppressive medications. However, most im...
Artificial intelligence (AI) can completely transform drug development methods by delivering faster, more accurate, efficient results. However, the ef...
Representation learning provides an opportunity to uncover the link between 3D genome organization and gene regulatory networks, thereby connecting th...
As one kind of 'probable human carcinogen' (Group 2B) compound classified by the International Agency for Research on Cancer, 3-MCPD is mainly formed ...
Angiogenesis, the formation of new blood vessels, is a fundamental biological process with implications for both physiological functions and pathologi...
Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the population, and approximately 250,000 arthroscopic ...
This paper introduces an innovative approach to silicon and glass via inspection, which combines hybrid field microscopy with photometric stereo. Co...
Steroids are biologically active polycyclic compounds that have garnered significant scientific attention due to their distinct physiochemical propert...
Group Recommender Systems (GRS) employing social choice-based aggregation strategies have previously been explored in terms of perceived consensus, ...
Artificial intelligence (AI) is already impacting the way we diagnose skin diseases. Although there are many new AI tools promoted to be helpful to de...
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medicine and improving surgical precision. However, it...
The study of ubiquitous circadian rhythms in human physiology requires regular measurements across time. Repeated sampling of the different internal t...
Activation of NLRP3 (NOD-like receptor family, pyrin domain-containing protein 3) has been associated with multiple chronic pathologies, including dia...
Artificial intelligence (AI) is rapidly transforming radiology, with over 200 CE-marked products in the EU and more than 750 AI-based devices authoris...
Diabetes is a civilization chronic disease characterized by a constant elevated concentration of glucose in the blood. Many processes are involved i...
Convolutional neural networks (CNNs) are effective for hyperspectral image (HSI) classification, but their 3D convolutional structures introduce hig...
Standardized performance evaluation of fluorescence imaging systems remains a critical unmet need in the field of fluorescence-guided surgery (FGS)....
We present a Bayesian dynamic borrowing (BDB) approach to enhance the quantitative identification of adverse events (AEs) in spontaneous reporting s...