Stanford’s Monica Agrawal and Jure Leskovecand Marinka Zitnik used AI to study the body’s underlying cellular machinery and predict side effects of drug combinations. There are about 1,000 known side effects and 5,000 drugs on...
Stanford’s Monica Agrawal and Jure Leskovecand Marinka Zitnik used AI to study the body’s underlying cellular machinery and predict side effects of drug combinations. There are about 1,000 known side effects and 5,000 drugs on...
Vinod Khosla discussed AI at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford;
University of Bristol researchers, Oracle and Interactive Scientific have used Oracle’s cloud infrastructure to combine real-time molecular simulations with VR, enabling them to “touch” molecules as they move— highlighting the potential of VR in...
Caltech’s Azita Emami, Aubrey Shapero, Abhinav Agarwal and colleagues have developed a miniaturized, fully wireless, highly-sensitive, implantable, continuous pressure sensor that can remain in the human eye for four years. The goal is early...
David Axelrod discussed VR-based learning in healthcare, and the Stanford Virtual Heart, at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford;
Jose Millan and EPFL colleagues have combined a brain computer interface with functional electrical stimulation in a system that, in a study, showed the ability to enhance the restoration of limb use after a stroke....
Cambridge’s Anna-Maria Pappa, KAUST’s Sahika Inal, and colleagues have developed a low cost, molecular wired sensor that can measure metabolites in sweat, tears, saliva or blood. It can be incorporated into flexible and stretchable...
Myant‘s Tony Chahine reimagined human presence at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford:
Newcastle University’s Che Connonhas developed proof-of-concept researchthat could lead to a 3D printed cornea. Stem cells from a healthy donor cornea were mixed with alginate and collagen to create a printable bio-ink. A 3D printer...
MIT CSAIL’s Daniela Rushas developed an EEG/EMG robot control system based on brain signals and finger gestures. Building on the team’s previous brain-controlled robot work, the new system detects, in real-time, if a person...