Latest AI and machine learning research in hemophilia for healthcare professionals.
This work describes an enzymatic autocatalytic network capable of dynamic switching under out-of-equ...
Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD)...
With the rapid development and application of deep learning medical image recognition, natural langu...
Protein kinase-inhibitor interactions are key to the phosphorylation of proteins involved in cell pr...
 Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endotheli...
Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progress...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...
HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...
Colorectal cancer (CRC) is the third most detected cancer and the second foremost cause of cancer de...
Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cy...
BACKGROUND: Itraconazole (ITZ) is an effective agent when used as primary invasive fungal disease (I...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 ...
Scaffold hopping has been widely used in drug discovery and is a topic of high interest. Here a deep...
Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...
The protein kinase family contains many promising drug targets. Many kinase inhibitors target the AT...
We report the ability of two deep learning-based decision systems to stratify non-small cell lung ca...
The vast majority of approved drugs are metabolized by the five major cytochrome P450 (CYP) isozymes...
BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, associ...
Computational models for drug sensitivity prediction have the potential to significantly improve per...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...