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Researchers from the University of Warwick have developed a machine learning model capable of predicting the interactions between proteins and drug molecules with 99 percent accuracy. Findings have been published in Science Advances.

Belgian researchers have identified a protein formulation that mimics the structure and rigidity of the natural lining in a women’s ovaries, a breakthrough for women with infertility or cancer patients who had radiation or chemotherapy treatments. Findings are published in the Journal of Assisted Reproduction and Genetics.

Researchers from the University of Minnesota used 3D printing to build lifelike artificial organ models that mimic the look, structure, mechanical properties and feel of human organs. Findings were published in Advanced Materials Technologies.

Elderly patients who played 3D-platform games such as Nintendo's Super Mario 64 saw improvements in short-term memory and an increase in gray matter in the brain, according to a study published in PLOS ONE.

A video game that promotes balance by instructing users to hold poses could help children with autism spectrum disorder (ASD), according to a study published in the Journal of Autism and Developmental Disorders.

 

Recent Headlines

Machine learning model could accelerate drug discovery

Researchers from the University of Warwick have developed a machine learning model capable of predicting the interactions between proteins and drug molecules with 99 percent accuracy. Findings have been published in Science Advances.

Researchers ID protein key in creating an artificial ovary

Belgian researchers have identified a protein formulation that mimics the structure and rigidity of the natural lining in a women’s ovaries, a breakthrough for women with infertility or cancer patients who had radiation or chemotherapy treatments. Findings are published in the Journal of Assisted Reproduction and Genetics.

Researchers use 3D printing to develop personalized artificial organs

Researchers from the University of Minnesota used 3D printing to build lifelike artificial organ models that mimic the look, structure, mechanical properties and feel of human organs. Findings were published in Advanced Materials Technologies.

Elderly patients increase gray matter after playing Super Mario

Elderly patients who played 3D-platform games such as Nintendo's Super Mario 64 saw improvements in short-term memory and an increase in gray matter in the brain, according to a study published in PLOS ONE.

Video game improves balance in children with autism

A video game that promotes balance by instructing users to hold poses could help children with autism spectrum disorder (ASD), according to a study published in the Journal of Autism and Developmental Disorders.

Machine learning could improve clinical trials of stroke treatments

The incorporation of machine learning in clinical trials could improve research of effective drug treatments in the brain. It could also provide information on drug side-effects previously missed by conventional statistical tests, according to a study published in Brain.

White House health program selects Fitbit as wearable device in data collection

The All of Us Research Program, established by the White House in 2015, has selected Fitbit as the wearable that will be used to collect data that will be used in subsequent research on preventing diseases based on individual characteristics.  

Online platform improved mental health in mood, anxiety disorder patients

Accessing an online cognitive behavioral therapy (CCBT) program could improve the quality of life of patients with mood and anxiety disorders, according to a study published in JAMA Psychiatry.

Lupus patients endorse assessment tool as valuable to clinical care

Researchers at the Hospital for Special Surgery (HSS) have found patients with lupus endorse the Patient Reported Outcomes Measurement Information System (PROMIS) as relevant and useful in improving clinical care.

Harvard researchers develop predictive model for cirrhosis outcomes

Researchers from Harvard have developed a predictive model, called MELD-Plus, capable of identifying patients at high-risk for developing negative outcomes following a hospital admission for cirrhosis. Findings were published in PLOS One.

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