Latest AI and machine learning research in fda general for healthcare professionals.
Earlier identification, regulation of impurities in pharmaceutical products is critical throughout the medication development process because they have a high impact on drug quality, safety, and regulatory approval. Traditional analytical methods like LC-MS and NMR are frequently used, but they are labour intensive, time consuming and have limited capacity to detect unknown or trace level impuriti...
Artificial intelligence (AI) promises to rapidly transform healthcare, but as of 2026, the direct implications for clinical care supporting individuals with cerebral palsy (CP) are unclear. In this narrative review, several publications were identified evaluating AI-based tools to aid in early diagnosis of CP or in functional assessment of individuals with CP. As of the time of writing, one applic...
Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...
The adoption of whole-slide imaging is establishing a new paradigm in digital pathology. However, the translation of artificial intelligence (AI) from...
Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...
Industrial early-warning systems require models that can detect transitional risk states before failure while also explaining uncertainty in the resul...
BACKGROUND: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is being integrated into healthcare documentation, ...
Artificial intelligence (AI) is revolutionizing health care, particularly in radiology for which large retrospective electronic datasets are naturally...
Recent policy proposals aim to improve the safety of general-purpose AI, but there is little understanding of the efficacy of different regulatory app...
Allostery offers a powerful route to regulate protein function and expands drug discovery beyond the orthosteric paradigm. By acting at sites distinct...
Lignin, the largest renewable aromatic carbon reservoir, represents a foundational yet underutilized feedstock for sustainable biomanufacturing. Despi...
BACKGROUND: Osteoarthritis (OA) is a common chronic inflammatory orthopedic disease, and ferroptosis (a novel OA-associated cell death mechanism) rema...
The advancement of high-energy electrochemical energy storage is increasingly throttled by the kinetic and thermodynamic bottlenecks inherent to stead...
Polypharmacy requires accurate prediction of drug-drug interactions to prevent adverse events, yet existing models often lack reliability and explaina...
Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection caused by kidney stones can easily induce sepsis, ...
Aqueous zinc (Zn) metal batteries (AZMBs) are promising for sustainable energy storage, yet their development is severely compromised by the interfaci...
This review highlights the problem of protein molecule aggregation, which represents a significant challenge in the field of biopharmaceuticals. Prote...
PURPOSE OF REVIEW: People with HIV (PWH) on effective antiretroviral therapy continue to experience a disproportionate burden of age-related comorbidi...
We identify PAN4 (GAYTFKIRRK), an AI-designed host-directed immunomodulatory peptide, as a modulator of intestinal immune homeostasis in Drosophila me...
Artificial intelligence (AI) has emerged as a promising adjunct in surgical pathology, particularly in the diagnosis of prostate cancer, where variabi...