Machine learning reveals two main Parkinson's types and five subgroups
Posted:
A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, helping explain why a single treatment does not work for all patients. Using a machine-learning-driven analysis, the team identified two main groups and five subgroups of the disease.
New York-based Claryx has emerged from stealth with $3.5 million in pre-seed funding.
Outlander VC led the round, with participation from Company Ventures, Boost VC, Neon, Mana Ventures, 640 Oxford and Precursor Ventures.
The funding will help Claryx continue to "build…
Researchers have shown that measurements taken from a person's fingertip could help identify physical patterns associated with stress, anxiety and depression.
The international study, involving experts from Aston University, used a wearable device that shines light into the skin to…