New Antibiotics Are Desperately Needed: Machine Learning could Help
As the threat of antibiotic resistance looms, microbiologists aren’t the only ones thinking up new solutions. James Zou, PhD, assistant professor of biomedical data science at Stanford, has applied machine learning to create an algorithm that generates thousands of entirely new virtual DNA sequences with the intent of one day creating antimicrobial proteins.
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Apple Heart Study Demonstrates Ability of Wearable Technology to Detect Atrial Fibrillation
Researchers from the Stanford University School of Medicine presented preliminary results of the Apple Heart Study, an unprecedented virtual study with over 400,000 enrolled participants. The researchers reported that wearable technology can safely identify heart rate irregularities that subsequent testing confirmed to be atrial fibrillation, a leading cause of stroke and hospitalization in the United States.
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A first-of-its-kind nanoparticle vaccine candidate for respiratory syncytial virus (RSV) has been designed in an international research effort. RSV is second only to malaria as a cause of infant mortality worldwide. The new vaccine elicits potent neutralizing antibodies against RSV in both mice and monkeys. The animal research findings, reported March 7 in the journal Cell, pave the way for human clinical trials.
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Study Finds Robots can Detect Breast Cancer as well as Radiologists
Breast cancer is the most common cancer in women, and despite important improvements in therapy, it is still a major cause for cancer-related mortality, accounting for approximately 500,000 annual deaths worldwide. Breast cancer screening programs using mammography are effective in reducing breast cancer-related mortality.
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A New Machine Learning Model can Classify Lung Cancer Slides at the Pathologist Level
Machine learning has improved dramatically in recent years and shown great promise in the field of medical image analysis. A team of research specialists at Dartmouth's Norris Cotton Cancer Center have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma, the most common form of the leading cause of cancer-related deaths worldwide.
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Bringing more Human Intelligence to AI, Data Science and Digital Automation
The advent of data science, wireless connectivity and sensors, artificial intelligence (AI), and the Internet of Things (IoT) has raised the prospects for digital automation, smart hospital design and the home health care industry for an aging population. A new horizon scanning analysis described why AI, data science, and digital automation need more of the human element.
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Open-Source Software Tracks Neural Activity in Real Time
Tracking the firings of individual neurons is like trying to discern who is saying what in a football stadium full of screaming fans. Until recently, neuroscientists have had to tediously track each neuron by hand. A breakthrough software tool called CaImAn automates this arduous process using a combination of standard computational methods and machine-learning techniques.
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