Latest AI and machine learning research in fda general for healthcare professionals.
Ion channels are central to regulating neuronal communication, cardiac rhythm, and muscle contraction. Their modulation can induce therapeutic benefits but may also lead to adverse or toxic effects. This study presents IonNTXpred, a protein language model (PLM)-based method for predicting protein ion channel modulators, including channel-specific (Na□, K□, Ca²□, and others) and moonlighting protei...
Single-cell chromatin accessibility offers unique insights into transcriptional regulation beyond gene expression. However, paired datasets of these two modalities remain relatively scarce, and existing computational models cannot simultaneously predict chromatin accessibility for unseen genomic regions and cells. Here, we present XChrom, a deep learning framework for genome-wide cross-cell chroma...
Industrial-scale production of bio-based chemicals in the circular green bioeconomy still faces inefficiencies arising from scaling up challenges. Bio...
We present an AI-assisted pipeline for disease-specific drug landscape analysis. Given a disease name, the system assembles a comprehensive, evidence-...
Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular diversity, but current computational models often fail to incorpo...
Characterizing tissue-specific (TSp) gene expression is crucial for understanding development and disease; however, traditional expression-based metho...
Programmable control of gene expression in specific cell types is essential for both basic discovery and therapeutic intervention, yet current strateg...
Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and molecular bases of grain metabolic diversity remai...
The three-dimensional organization of chromatin into topologically associating domains (TADs) may impact gene regulation by bringing distant genes int...
Diabetic foot ulcers (DFU) constitute a major complication arising from diabetes mellitus. Emerging research findings have underscored the pivotal con...
Adults and children with cerebral cavernous malformations (CCMs) are at risk of experiencing lifelong complications such as hemorrhagic strokes, neuro...
Over 100 genes have been implicated in congenital heart disease (CHD), yet the genetic basis for >50% of CHD remains unexplained. A key challenge is t...
Propofol is a widely used sedative-hypnotic agent for critically-ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical be...
The routine derivation of novel biomarkers from therapeutic clinical trials to accurately predict individual patient’s responses, would be a significa...
Fatigue is commonly identified by IBD patients as major issue that affects their wellbeing. This presentation, however, is complex, multifactorial and...
While mammography is commonly used for breast cancer detection, its widespread implementation in resource-constrained nations is challenging. Artifici...
The rapid adoption of artificial intelligence (AI) raises challenges related to ethics, safety, equity, and governance that require robust regulatory ...
The recent proliferation of AI-enabled medical devices and the growing emphasis on clinical translation creates a critical need to understand the evol...
Considering numerous radiological images and the heavy workload of writing corresponding reports in clinical work, it is significant to leverage artif...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experience sufficient symptom relief. Recent advances in...