Deep Learning by RE.DOCTOR
How RE.DOCTOR Technology is Transforming HealthcareThe healthcare industry is undergoing a period of significant transformation. As technology continues to evolve, we're seeing a shift towards more patient-centric care models. One of the most promising advancements in this area is remote patient monitoring (RPM).What is Remote Patient Monitoring?Remote patient monitoring (RPM)...
Read MoreTake Charge: Personalized AI Revolutionizes Insulin ManagementFor those living with diabetes, managing insulin can feel like a constant dance. Dosing adjustments based on food, activity, and even emotions can be a complex puzzle. But what if there was a partner in this dance - a personalized AI program that helps...
Read MoreReversing Insulin Resistance with AI-Driven Lifestyle ModificationInsulin resistance is a condition in which your body's cells do not respond properly to the hormone insulin. Insulin is responsible for helping your body use glucose, a type of sugar, for energy. When your cells are resistant to insulin, glucose builds up in...
Read MoreCompany: Well Respected National Insurer Objective: Convert existing policyholders into health insurance policyholders through personalized cross-selling engagement, driven by health data provided by customers. I. Introduction The company has a large base of policyholders for general life products and vehicle insurance products, but a relatively low percentage of health insurance...
Read MoreIn the ever-evolving healthcare landscape, pharmaceutical companies are continuously seeking innovative ways to enhance their treatment offerings. In this pursuit, digital therapeutics (DTx) have emerged as a transformative force, offering a personalized and data-driven approach to complement traditional pharmacotherapy. Leading the charge in this realm is RE.DOCTOR, a pioneer in...
Read MoreThe global Continuous Glucose Monitoring (CGM) Sensors market size was accounted at USD 3.6 Bn in 2021; It is projected to grow at a compound annual growth rate (CAGR) of 18% from 2022 to 2030. Diabetes technology has progressed remarkably over the past few years, including the development of markers for...
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for measuring the physiological state of an individual in daily life. This review aims to examine existing research on photoplethysmogram concerning its generation mechanisms, measurement principles, clinical applications, noise definition, pre-processing techniques, feature detection techniques, and post-processing techniques...
Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the...
How artificial intelligence could provide some respite for the NHSEmma Rich, University of Bath and Andy Miah, University of SalfordThe NHS recently announced plans to trial an artificially intelligent mobile health app to a million people in London. The aim is to help diagnose and treat patients by engaging them in...