Brigham Researchers Develop Smartphone-Based Ovulation Test
Investigators from Brigham and Women's Hospital are developing an automated, low-cost tool to predict a woman's ovulation and aid in family planning. Capitalizing on advancements in several areas, including microfluidics, artificial intelligence (AI) and the ubiquity of smartphones, the team has built an ovulation testing tool that can automatically detect fern patterns - a marker of ovulation - in a saliva sample.
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Researchers Use Computer Model to Predict Prostate Cancer Progression
An international team of cancer researchers from Denmark and Germany have used cancer patient data to develop a computer model that can predict the course of disease for prostate cancer. The model is currently being implemented at a prostate cancer clinic in Germany. The researchers have also found the enzyme that appears to trigger some of the first mutations in prostate cancer.
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Russian Scientists Create One-of-a-Kind Technology for Brain Disorders Treatment
A team of scientists of Ural Federal University headed by Prof. Vladimir Kublanov created a hardware-information system for brain disorders prophylaxis and treatment unrivaled both in Russia and throughout the world. The system developers published the article describing the system in the journal Mobile Information Systems (UK).
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Ingestible Capsule can be Controlled Wirelessly
Researchers at MIT, Draper, and Brigham and Women's Hospital have designed an ingestible capsule that can be controlled using Bluetooth wireless technology. The capsule, which can be customized to deliver drugs, sense environmental conditions, or both, can reside in the stomach for at least a month, transmitting information and responding to instructions from a user's smartphone.
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Internet Therapy Apps Reduce Depression Symptoms
In a sweeping new study, Indiana University psychologists have found that a series of self-guided, internet-based therapy platforms effectively reduce depression. The work, which reviewed 21 pre-existing studies with a total of 4,781 participants, was published in the November issue of the Journal of Medical Internet Research. The study was led by Lorenzo Lorenzo-Luaces, a clinical professor in the IU Bloomington College of Arts and Sciences' Department of Psychological and Brain Sciences.
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New Study Sheds Light on Medication Administration Errors Leading to Death
Medication administration errors leading to death are common with anticoagulants and antibiotics in particular, according to a new study that analysed incidents reported in England and Wales. The most common error category was omitted medicine, followed by a wrong dose or a wrong strength. In half of the reported incidents, the patient was aged over 75.
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AI System may Accelerate Search for Cancer Discoveries
Searching through the mountains of published cancer research could be made easier for scientists, thanks to a new AI system. The system, called LION LBD and developed by computer scientists and cancer researchers at the University of Cambridge, has been designed to assist scientists in the search for cancer-related discoveries. It is the first literature-based discovery system aimed at supporting cancer research.
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