Ben-Gurion University scientists say their innovative algorithm, WGAND, can identify rogue protein behavior the same way investigators uncover suspicious social network patterns ...

The National Board of Examinations in Medical Sciences (NBEMS) has officially announced the results for the National ...

Apr. 22, 2025 — One of the challenges of fighting pancreatic cancer is finding ways to penetrate the organ's dense tissue to define the margins between malignant and normal tissue. A new study ...

Background Fibrolamellar carcinoma (FLC), a rare and fatal liver cancer lacking effective drug therapy, is driven by the DNAJ ...

To help in the rational design of new compounds for treating hyponatremia and polycystic kidney disease, the authors solve cryo-EM structures of the G protein-coupled vasopressin type 2 receptor ...

Our master's degree in pharmacology is designed to provide an understanding of basic pharmacology, toxicology, drug discovery and translational science, along with an individualized program of ...

Receptor pharmacology is the study of the interactions of receptors with drugs/pharmaceuticals and other xenobiotics. A basic tenet of receptor pharmacology is that a drug’s effect is directly ...

The flavonoid silymarin and one of its structural components, silibinin, are substances with documented hepatoprotective properties. Their mechanisms of action are still poorly understood. However ...

Fewer women than ever are having babies in the US, a concerning trend the Trump administration is eager to reverse. Provisional CDC data show births rose in 2024 by just a fraction of a percent ...

Quantitative Systems Pharmacology (QSP) is the field of study where predictive computational models of the dynamic interactions between drugs and disease processes are used to guide the development ...

Apr. 23, 2025 — A new study finds vision loss fears may deter some patients from cataract surgery, despite it being the only effective treatment. The research underscores the role of doctor ...

A bell curve is a graph that shows how values in a dataset are spread out, with most falling near the average, and fewer appearing at the extremes. It is used to understand patterns, trends ...