The data, published in the Journal of Clinical Oncology, demonstrate that by combining two drugs that had already been used on a patient in the past but had stopped working, they boost each other's efficacy and at the same time manage to break down the patient's resistance to each of them individually, presenting a third potential treatment option for clinically advanced metastatic tumours.

Clinical researchers at the University of Massachusetts Medical School (UMMS) are combining an innovative constellation of technologies such as artificial intelligence, smartphone programming, biosensors and wireless connectivity to develop a device designed to detect physiological stressors associated with drug cravings and respond with user-tailored behavioral interventions that prevent substance use.

Researchers with the U.S. Department of Energy (DOE)'s Lawrence Berkeley National Laboratory (Berkeley Lab) have found new evidence to explain how cholesteryl ester transfer protein (CETP) mediates the transfer of cholesterol from "good" high density lipoproteins (HDLs) to "bad" low density lipoproteins (LDLs).

In a research lab at Wake Forest University, biophysicist and computer scientist Samuel Cho uses graphics processing units (GPUs), the technology that makes videogame images so realistic, to simulate the inner workings of human cells.

Fresh insights into how our cells multiply could help scientists develop drugs to treat cancer. Researchers have gained better understanding of the workings of two key proteins that control cell division. This process must be carried out accurately to keep cells healthy, and when it goes out of control, it can lead to cancer.

A protein that protects some of our immune cells from the most common and virulent form of HIV works by starving the virus of the molecular building blocks that it needs to replicate, according to research published online in Nature Immunology.

Free-flowing cancer cells have been mapped with unprecedented accuracy in the bloodstream of patients with prostate, breast and pancreatic cancer, using a brand new approach, in an attempt to assess and control the disease as it spreads in real time through the body, and solve the problem of predicting response and resistance to therapies.