A ground-breaking new, mobile phone app, 'GrowthMonitor' places the accurate measurement of children's height in the hands of parents and carers. Preliminary data to be presented at the Society for Endocrinology annual conference in Edinburgh suggests that the app could reliably identify treatable growth disorders, much earlier, with significant improvements in child health.

A Tulane University researcher found that artificial intelligence (AI) can accurately detect and diagnose colorectal cancer from tissue scans as well or better than pathologists, according to a new study in the journal Nature Communications.

The study, which was conducted by researchers from Tulane, Central South University in China, the University of Oklahoma Health Sciences Center, Temple University, and Florida State University, was designed to test whether AI could be a tool to help pathologists keep pace with the rising demand for their services.

Anyone waiting for the results of a medical test knows the anxious question: 'Will my life change completely when I know?' And the relief if you test negative.

Nowadays, Artificial Intelligence (AI) is deployed more and more to predict life-threatening disease. But there remains a big challenge in getting the Machine Learning (ML) algorithms precise enough.

No two human beings are the same, a biologic singularity encoded in the unique arrangement of the molecules that make up our individual DNA.

Variation is a cardinal feature of biology, the driver of diversity, and the engine of evolution, but it has a dark side. Alterations in DNA sequences and the resulting proteins that build our cells can sometimes lead to profound disruptions in physiologic function and cause disease.

For the first time, researchers at the Technical University of Munich (TUM) have successfully used a new X-ray method for respiratory diagnostics with patients. Dark-field X-rays visualize early changes in the alveolar structure caused by the lung disease COPD and require only one fiftieth of the radiation dose typically applied in X-ray computed tomography.

Scientists from Queen's University Belfast have developed a computer-aided data tool that could improve treatment for a range of illnesses.

The computer modelling tool will predict novel sites of binding for potential drugs that are more selective, leading to more effective drug targeting, increasing therapeutic efficacy and reducing side effects.

Researchers in the health and wellness space have typically relied on people to report their personal health data, like activity levels, heart rate or blood pressure, during brief snapshots in time.

Wearable health devices, such as the popular Apple Watch, have changed the game, surfacing meaningful data that can paint a more complete picture of daily life and resulting health and disease for clinicians.