AI driven Information Center
Our new research blog driven by elements of artificial intelligence is online now. It is the first module of our CLiNSTORM(c) project to support medical
Artificial Intelligence, Tele-ophthalmology, and IoT to Drive the Ophthalmic Diagnostic and Monitoring Devices Market
" Conventional ophthalmic diagnostic devices are bulky and non-portable, take a long time for analysis, require expertise, are uncomfortable for patients, and require frequent visits
Important information for clinical investigators
Our global networking side E-Feasibility is online. E-Feasibility helps sponsors to pre-select and recruit investigators. Investigators can register for free and join our global network
When AI in healthcare goes wrong, who is responsible?
Artificial intelligence can be used to diagnose cancer , predict suicide , and assist in surgery . In all these cases, studies suggest AI outperforms
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer
In the present study, multivariate analysis demonstrated predictive factors for FN, including age, staging, and taxane-based regimen. The lymphocyte count 5 days after chemotherapy was also
Research Roundup: Artificial intelligence and medical errors, dissociation brain circuitry, ‘cellular compass’ in plant cells
Each week, The Daily’s Science & Tech section produces a roundup of the most exciting and influential research happening on campus or otherwise related to
New roles for doctors in the age of AI
Reviewed by Emily Henderson, B.Sc. Sep 19 2020 Announcing a new article publication for BIO Integration journal. In this opinion article the authors Fengyi Zeng,
Telemedicine and addiction recovery: A new way forward?
Will the future of addiction recovery take place on video conference screens and emailed notes? Even a few months ago, treating addiction patients remotely might
Privacy, efficacy concerns are the biggest hurdles to digital health adoption
More people have used virtual visits, chatbots and other digital health tools since the start of the Covid-19 pandemic. But what will it take for
Development of a probabilistic early health warning system based on meteorological parameters
Observed cases of MAL and ADD The actual recorded weekly mean of MAL and ADD cases along with the climatological rainfall (hereafter R/F), maximum temperature