Review Evaluates How AI could Boost the Success of Clinical Trials
Big pharma and other drug developers are grappling with a dilemma: the era of blockbuster drugs is coming to an end. At the same time, adding new drugs to their portfolios is slow and expensive. It takes on average 10-15 years and $1.5-2B to get a new drug to market; approximately half of this time and investment is devoted to clinical trials.
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Are Fertility Apps Useful?
For many women of reproductive age, the most common way of assessing their menstrual health and fertility means regular visits to a gynecologist or another clinician. When it comes to evaluating changes in fertility, menstrual health, and quality of life, these visits typically rely on remembering, which can lead to significant inaccuracies in evaluation.
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Consumers Less Attentive to News Content on Small Screens
Heart rate variability decreases and changes in sweat are muted when viewing video news content on smaller screens. Both are indications of reduced attentiveness and engagement with content, according to a new study involving researchers at the University of Michigan and Texas A&M University.
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3D Body Mapping could Identify, Treat Organs, Cells Damaged from Medical Conditions
Medical advancements can come at a physical cost. Often following diagnosis and treatment for cancer and other diseases, patients' organs and cells can remain healed but damaged from the medical condition. In fact, one of the fastest growing medical markets is healing and/or replacing organs and cells already treated, yet remain damaged by cancer, cardiovascular disease and other medical issues.
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A Miniature Robot that could Check Colons for Early Signs of Disease
Engineers have shown it is technically possible to guide a tiny robotic capsule inside the colon to take micro-ultrasound images. Known as a Sonopill, the device could one day replace the need for patients to undergo an endoscopic examination, where a semi-rigid scope is passed into the bowel - an invasive procedure that can be painful.
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From One Brain Scan, more Information for Medical Artificial Intelligence
MIT researchers have devised a novel method to glean more information from images used to train machine-learning models, including those that can analyze medical scans to help diagnose and treat brain conditions. An active new area in medicine involves training deep-learning models to detect structural patterns in brain scans associated with neurological diseases and disorders, such as Alzheimer's disease and multiple sclerosis.
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Your Circle of Friends, not Your Fitbit, is more Predictive of Your Health
Wearable fitness trackers have made it all too easy for us to make assumptions about our health. We may look to our heart rate to determine whether we really felt the stress of that presentation at work this morning, or think ourselves healthier based on the number of steps we've taken by the end of the day.
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