Fresh treatments shift the focus from symptom management to repair, and help children with skin conditions to live active ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

The platform that has helped identify patients with generalized pustular psoriasis is now being expanded to hidradenitis ...

Researchers from Edith Cowan University (ECU) are developing an artificial intelligence algorithm that can use bone density ...

Using its hub-and-spoke model, PureTech is launching a new subsidiary, Celea Therapeutics, to develop its candidate for the rare lung disease IPF.

A handheld sensor and innovative technique developed by Texas A&M AgriLife Research scientists could one day offer a ...

Leading researchers and public health experts have expressed concerns over Nigeria’s fragile infectious disease surveillance system, warning that the current systems in place are inadequate for timely ...

A new study offers the latest evidence of potential “deskilling” effects on AI users.

To illustrate the benefits of MIGHT, they used it to develop a test for early cancer detection using circulating cell-free DNA (ccfDNA)-fragments of DNA circulating in the blood.