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Smartwatch Tracks Medication Levels to Personalize Treatments

Engineers at the UCLA Samueli School of Engineering and their colleagues at Stanford School of Medicine have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat. This wearable technology could be incorporated into a more personalized approach to medicine - where an ideal drug and dosages can be tailored to an individual.

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Allscripts Clients Dedicated to Patient Health throughout COVID-19 Pandemic

Since the beginning of the COVID-19 pandemic, Allscripts (NASDAQ: MDRX) and its clients have taken significant actions to ensure effective care delivery in the communities they serve. With unwavering dedication to patient health, caregivers from both large hospital systems and independent physician practices around the world continue to excel in the face of the unprecedented crisis to help manage their patients and combat the spread of the virus.

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AI may Offer a Better Way to ID Drug-Resistant Superbugs

Biomedical engineers at Duke University have shown that different strains of the same bacterial pathogen can be distinguished by a machine learning analysis of their growth dynamics alone, which can then also accurately predict other traits such as resistance to antibiotics.

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Digital-First Patient Communications at London North West Healthcare Trust Improves Clinical Capacity and Helps Save over £5M a Year

London North West University Healthcare NHS Trust (LNWH) has boosted its clinical capacity, reduced the administrative burden on staff and gained millions in potential savings by cutting missed appointments and postal costs using a digital-first approach to patient communications.

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Tool could Improve Success in Translating Drugs from Animal Studies to Humans

About 50% of people who take the drug infliximab for inflammatory bowel diseases, such as Crohn's disease, end up becoming resistant or unresponsive to it.

Scientists might be able to catch problems like this one earlier in the drug development process, when drugs move from testing in animals to clinical trials, with a new computational model developed by researchers from Purdue University and Massachusetts Institute of Technology.

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NHS Trust Accelerates its Deployment of the Allscripts Information Sharing Platform

The Dudley Group NHS Foundation Trust has accelerated the roll-out of a pioneering information sharing project to support its clinicians during the coronavirus outbreak.

The trust is one of the first in the UK to adopt the Allscripts dbMotion information sharing platform, and was planning a full-scale deployment this summer, following internal testing and a proof of concept with local GPs.

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Siilo Raises £8.6 Million to Enable Secure Collaboration Between Healthcare Professionals across Europe

Siilo, the secure collaboration app for healthcare professionals, has raised a £8.6 million (€9.5m) in Series A funding. European digital health VC Heal Capital is at the forefront of the investment, backed by Germany's private health insurers. It is the VC's first investment following the Berlin-based fund’s launch in 2019. Also participating in the round are Philips Health Technology Venture Fund and current investor EQT Ventures.

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'Drawn-on-Skin' Electronics offer Breakthrough in Wearable Monitors

A team of researchers led by Cunjiang Yu, Bill D. Cook Associate Professor of Mechanical Engineering at the University of Houston, has developed a new form of electronics known as "drawn-on-skin electronics," allowing multifunctional sensors and circuits to be drawn on the skin with an ink pen.

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Philips Launches Pre-Hospital Wireless Monitoring Solution for Emergency Medical Response in U.S.

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the launch of its remote monitoring and defibrillator solution (Tempus ALS) for pre-hospital settings in the U.S. The solution is a complete end-to-end system that combines innovative hardware and advanced software to expand the pre-hospital scope of care for first responders.

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New Machine Learning Method Allows Hospitals to Share Patient Data - Privately

To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges.

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