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Using Artificial Intelligence to Find New Uses for Existing Medications

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

The intent of this work is to speed up drug repurposing, which is not a new concept - think Botox injections, first approved to treat crossed eyes and now a migraine treatment and top cosmetic strategy to reduce the appearance of wrinkles.

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One in Four Doctors Attacked, Harassed on Social Media

While many physicians benefit from social media by networking with potential collaborators or interfacing with patients, a new study from Northwestern University and the University of Chicago found many physicians also report being sexually harassed and personally attacked on these platforms on the basis of their religion, race or medical recommendations.

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Associate Director Strategic Digital Partnerships

For more than 125 years, MSD company has been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases in pursuit of the mission to save and improve lives. We demonstrate our commitment to patients and population health by increasing access to health care through far-reaching policies, programs and partnerships.

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New Virtual Screening Strategy Identifies Existing Drug that Inhibits COVID-19 Virus

A novel computational drug screening strategy combined with lab experiments suggest that pralatrexate, a chemotherapy medication originally developed to treat lymphoma, could potentially be repurposed to treat COVID-19. Haiping Zhang of the Shenzhen Institutes of Advanced Technology in Shenzhen, China, and colleagues present these findings in the open-access journal PLOS Computational Biology.

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Significant Disparities in Telemedicine Use, Especially Among Older and Non-White Patients

After "COVID-19," the term that most people will remember best from 2020 is likely to be "social distancing." While it most commonly applied to social gatherings with family and friends, it has impacted the way many receive medical care. Historically, the United States has been relatively slow to broadly adopt telemedicine, largely emphasizing in-person visits.

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Model Used to Evaluate Lockdowns was Flawed

In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model had fundamental shortcomings and cannot be used to draw the published conclusions, claim Swedish researchers from Lund University, and other institutions, in the journal Nature.

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Accelerating Data Solutions to Save LIVES from COVID-19

The consortium of COVID-X announces the launch of the ​1st Open Call ​framed in a ​2-year initiative that will invest ​4 million € to fast-track to market 30+ European data technology solutions defeating COVID-19 Challenges, facilitating an innovative stack of AI-driven tools.

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Study Details First Artificial Intelligence Tool to Help Labs Rule-out COVID-19

Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv's new AI-COVID™ software. The team found high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.

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Free Online Tool Helps Determine Whether a Patient will Need a Ventilator or ICU Care

University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online for any healthcare organization to use.

"The goal is to give an earlier alert to clinicians to identify patients who may be vulnerable at the onset," said Daniel S. Chow, an assistant professor in residence in radiological sciences and first author of the study, published in PLOS ONE.

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Open Topic Tenure Track Professorship for Data, Sensors and Devices/Digital Transformation

The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Open Topic Tenure Track Professorship for Data, Sensors and Devices/Digital Transformation (W1 / Assistant Professor) at the Department of Artificial Intelligence in Biomedical Engineering.

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