Tag: engineering
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Infographic – A.I. Venture Funds Tick Up in Q4 2022
A new report on venture funding for artificial intelligence start-ups shows global investment dollars rose in the fourth quarter of 2022, the first increase in 18 months.
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Standard Electronic Biomarkers Validated for Schizophrenia
A new study validates standard electronic instrument measures of healthy individuals and people with schizophrenia to enable reliable clinical trials for treating the disease.
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Post-Surgical Fluid Cancer Analytics Company Gains $8M
A start-up company developing liquid biopsies for diagnosing cancer by analyzing fluids drained from a patient after surgery is raising $8 million in seed funds.
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Trial Shows Electronic Dressing Stops Biofilm Infections in Burns
Findings from a clinical trial show a dressing for burns with an electric current prevents formation of bacterial films, reducing risks of infections.
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Remote Monitoring Shown to Reduce COPD Hospital Visits
A study of people with COPD shows patients using a wearable electronic device to report health status have fewer unplanned hospital visits than before using the device.
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Infographic – Tech Layoffs Jump This Year
Since the start of 2023, layoffs in technology industries worldwide rose markedly, continuing a trend that began in the fall of 2022.
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A.I. Shown to Enhance Diagnostics in Liquid Biopsies
A new analysis shows machine learning algorithms can provide more diagnostic details in liquid biopsies, blood tests to detect and track solid tumor cancers.
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Trial Testing VR to Relieve Cancer Patient Distress
A clinical trial is underway assessing virtual reality interventions for relieving distress and improve the quality of life for cancer patients receiving bone marrow transplants.
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Technology Showcased to Ease Mental Health Interventions
A group of industry and academic researchers at a scientific meeting displayed advances in technology to improve access to therapy for people with mental disorders.
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Panel: A.I. Regulation Needed, But Long Way Off
A panel of data scientists at a professional meeting says artificial intelligence needs more rigorous oversight, but many questions remain on who and how to do the regulating.