What You Should Know:
– Implicity, a leader in remote patient monitoring and cardiac data management, has received FDA 510(k) clearance for SignalHF1, a groundbreaking new algorithm within their remote monitoring solution.
– SignalHF1 algorithm empowers…
Continue Reading
Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and machine learning (ML) techniques in PTSD. We…
Continue Reading
CU Medicine develops severe hypoglycemia predictive AI Researchers from the Faculty of Medicine at the Chinese University of Hong Kong (CU Medicine) have utilised anonymised big data from the Hospital Authority Data Collaboration Laboratory to…
Continue Reading
Predictive Powers Transforming Clinical TrialsIn this episode of Talking HealthTech, we dive into the predictive analysis systems revolutionising clinical trial design and outcomes. With the costs of these trials often soaring, and their success…
Continue Reading
Nanyang Technological University Singapore has developed a ring-type device that can help speed up the analysis of skincare cosmetic products.Dubbed HapSense, the wearable device is shaped like a signet ring and worn on the…
Continue Reading
Background: Hypertension significantly impacts the well-being and health of individuals globally. Hypertension management apps (HMAs) have been shown to assist patients in controlling blood pressure (BP), with their efficacy validated in clinical trials. However,…
Continue Reading
By Shania Kennedy
March 28, 2024 – A team from the University of Virginia (UVA) is developing an online big data dashboard to map enteric infectious disease burden in low- and middle-income countries, which researchers and…
Continue Reading
The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize…
Continue Reading
Clinical research relies on high-quality patient data, however, obtaining big data sets is costly and access to existing data is often hindered by privacy and regulatory concerns. Synthetic data generation holds the promise of…
Continue Reading
Artificial Intelligence is basically combining big data and machine learning.#digitalhealth #AI #healthtech #startups #bigdata #machinelearning…
Continue Reading
