Research

A New AI Model can Accurately Predict Human Response to Novel Drug Compounds

The journey between identifying a potential therapeutic compound and Food and Drug Administration approval of a new drug can take well over a decade and cost upwards of a billion dollars. A research team at the CUNY Graduate Center has created an artificial intelligence model that could significantly improve the accuracy and reduce the time and cost of the drug development process.

Telemedicine Program Halves Time to Treatment

When struggling to conceive, every second that ticks by feels precious. That makes it easy to get discouraged: 65 percent of those who seek fertility care eventually discontinue treatment, the majority due to stress. That's why Penn Medicine recently instituted a telemedicine-driven program aimed at seeing patients more quickly and starting treatments sooner.

Repurposing Existing Drugs to Fight New COVID-19 Variants

Michigan State University (MSU) researchers are using big data and AI to identify current drugs that could be applied to treat new COVID-19 variants.

Finding new ways to treat the novel coronavirus and its ever-changing variants has been a challenge for researchers, especially when the traditional drug development and discovery process can take years.

AI may Improve Suicide Prevention in the Future

The loss of any life can be devastating, but the loss of a life from suicide is especially tragic.

Around nine Australians take their own life each day, and it is the leading cause of death for Australians aged 15 - 44. Suicide attempts are more common, with some estimates stating that they occur up to 30 times as often as deaths.

A Simple Online Calculator Detects Liver Cirrhosis Patients at High Risk for Clinical Complications

Researchers at CeMM, the Medical University of Vienna (MedUni Vienna), and the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD) joined efforts to use their expertise in machine learning and management of patients with cirrhosis to develop a non-invasive algorithm that can help clinicians to identify patients with cirrhosis at highest risk for severe complications.

Improving Hospital Stays and Outcomes for Older Patients with Dementia through AI

By using artificial intelligence (AI), Houston Methodist researchers are able to predict hospitalization outcomes of geriatric patients with dementia on the first or second day of hospital admission. This early assessment of outcomes means more timely interventions, better care coordination, more judicious resource allocation, focused care management and timely treatment for these more vulnerable, high-risk patients.

Machine Learning Creates Opportunity for New Personalized Therapies

Researchers at the University of Michigan Rogel Cancer Center have developed a computational platform that can predict new and specific metabolic targets in ovarian cancer, suggesting opportunities to develop personalized therapies for patients that are informed by the genetic makeup of their tumors. The study appeared in Nature Metabolism.

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