Long-term adherence to medication is critical when it comes down to successfully treating...
- Human gene atlas opens avenues for cancer and genetics studies
- First AI-based device to detect diabetic retinopathy approved by FDA
- Artificial mole could act as early warning system for cancer
- Google combines augmented reality with deep learning to spot cancer
- Hitachi to trial world’s first urine cancer detection test
Could smartphone adherence apps help patients with chronic diseases?
Long-term adherence to medication is critical when it comes down to successfully treating chronic diseases.
Human gene atlas opens avenues for cancer and genetics studies
Scientists from the Hebrew University of Jerusalem have created an atlas of the human genome, which highlights the roles genes play in health and disease, using gene editing technology and human embryonic stem cells.
UK researchers identify new method to detect prostate cancer
Researchers at the University of Dundee in the UK have identified a new imaging technique to enable better diagnosis and management of prostate cancer.
First AI-based device to detect diabetic retinopathy approved by FDA
The US Food and Drug Administration (FDA) has authorised for marketing the first medical device to use artificial intelligence (AI) to detect diabetic retinopathy (DR).
Bruker Daltonik’s test for Candida auris gets US clearance
Medical equipment maker Bruker Daltonik has received clearance from the US Food and Drug Administration (FDA) to market its test to detect the Candida auris (C. auris) pathogen.
New blood test uses chip to diagnose multiple myeloma
A new type of blood test has been developed by researchers at the University of Kansas in the US, which employs a plastic chip to detect a form of cancer known as multiple myeloma.
Artificial mole could act as early warning system for cancer
A team of researchers from ETH Zurich in Switzerland has created a synthetic gene network that can be implanted into the body and act as an early warning system for cancer by appearing as a visible mole should the patient develop a tumour.
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