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Machine learning can predict low blood pressure during surgery

Machine learning can predict low blood pressure during surgery

Health
June 11 (UPI) -- A new algorithm can predict potentially dangerous low blood pressure during surgery. Researchers have developed machine learning than can identify hypotension as much as 15 minutes before it occurs, and are correct about 84 percent of the time. The findings were published Monday in the journal Anesthesiology. "Physicians haven't had a way to predict hypotension during surgery, so they have to be reactive, and treat it immediately without any prior warning," Dr. Maxime Cannesson, a professor of anesthesiology at UCLA Medical Center in Los Angeles, said in a press release. "Being able to predict hypotension would allow physicians to be proactive instead of reactive." Canesson said the tool can save lives -- even with a warning only 10 to 15 minutes ahead of time. "By findi...
Memory problems predict Alzheimer's onset, study says

Memory problems predict Alzheimer's onset, study says

Health
Feb. 15 (UPI) -- Individuals who are not aware of their own memory problems are nearly three times more likely to develop some form of dementia, including Alzheimer's disease, within two years, according to research at McGill University in Montreal.In a study published Thursday in the journal Neurology, a team from McGill's Translational Neuroimaging Laboratory studied individuals who experience memory lapses. The study was led by Dr. Pedro Rosa-Neto, co-senior author of the study and clinician scientist and director of the McGill Center for Studies in Aging."This study could provide clinicians with insights regarding clinical progression to dementia," Rosa-Neto said in a press release.Anosognosia, frequently referred to as a lack of insight, is a common symptom of certain mental illnesses...
Speech analysis can predict psychosis in at-risk youths: Study

Speech analysis can predict psychosis in at-risk youths: Study

Health
Jan. 22 (UPI) -- Analysis of speech may help predict which at-risk youths will develop psychosis within two years, researchers suggest in a new study.In the research of two independent groups, the method was about 80 percent accurate in determining whether youths whose speech was tangential, or going off track, led to psychosis, according to a study published Monday in the journal World Psychiatry."Language and behavior are the primary sources of data for psychiatrists to diagnose and treat mental disorders," said the study's first author, Dr. Cheryl Corcoran, an associate professor of psychiatry at the Icahn School of Medicine at Mount Sinai Health System, said in a press release."There are now novel computerized methods to characterize complex behaviors such as language. Speech is easy t...
Computer vision and motor tests predict who can hit a baseball

Computer vision and motor tests predict who can hit a baseball

Science
Jan. 8 (UPI) -- The latest research out of Duke University Medical Center suggests baseball scouts could be replaced by computers in the not-too-disant future.A series of computer-based vision and motor tasks performed by baseball players predicted which test-takers were most likely to excel at the plate. The tests were taken on large touch screen computers called Nike Sensory Stations. Those who scored highest were more likely to earn better on-base percentages, more walks and fewer strikeouts."There has been a data revolution in the game of baseball over the past decade with the introduction of technologies that track the speed and movement of every pitch, the location of players in the field, and other tools that can quantify player performance like never before," Kyle Burris, a statist...
How a tumor grows can predict which cancer drug will work best

How a tumor grows can predict which cancer drug will work best

Health
Dec. 22 (UPI) -- New research out of the University of Southern California suggests the growth patterns specific to a tumor can predict which cancer therapies are likely to work best.Like the patients in which they grow, every tumor is unique. Doctors and researchers are becoming increasingly aware of this fact as they devise individualized cancer treatments. Because each tumor is unique, cancerous growths respond differently to various drugs.Cancer drugs can have deleterious side effects, so finding the most effective drug -- or combination of drugs -- on the first try is imperative."Identifying a measurement or quantity that predicts how specific tumors will respond, called a predictive biomarker, is extremely valuable to cancer research," Stacey Finley, a assistant professor of biomedic...