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UVA researchers identify 14 genes that cause obesity

Promising news in the effort to develop drugs to treat obesity: University of Virginia scientists have identified 14 genes that can cause and three that can prevent weight gain. The findings pave the way for treatments to combat a health problem that affects more than 40% of American adults.

1 Oct 2021

Direct-to-consumer machine learning model incorrectly classifies rare, aggressive skin cancers

A new study has found that a direct-to-consumer machine learning model for detecting skin cancers incorrectly classified rare and aggressive cancers as low-risk.

30 Sep 2021

New facility established for testing innovative health nanotechnologies

A bespoke nationwide facility for testing innovative nanotechnologies for healthcare applications is to be established at the University of Strathclyde.

29 Sep 2021

Patient-specific whole-heart computational models provide insights for personalized treatment

Whole-heart ventricular modeling has come a long way in recent years and is currently witnessing the evolution of a variety of computational approaches, especially within the realm of personalized technologies for patient-specific clinical applications.

29 Sep 2021

Machine learning may predict zoonotic potential of viral genomes

Most emerging infectious diseases of humans (like COVID-19) are zoonotic – caused by viruses originating from other animal species. Identifying high-risk viruses earlier can improve research and surveillance priorities.

28 Sep 2021

COVID Moonshot receives key funding to accelerate drug discovery efforts

The COVID Moonshot, a non-profit, open-science consortium of scientists from around the world dedicated to the discovery of globally affordable and easily-manufactured antiviral drugs against COVID-19 and future viral pandemics has received key funding of £8 million from Wellcome, on behalf of the Covid-19 Therapeutics Accelerator.

28 Sep 2021

Machine learning pinpoints genes that enable plants to grow more with less fertilizer

Machine learning can pinpoint "genes of importance" that help crops to grow with less fertilizer, according to a new study published in Nature Communications. It can also predict additional traits in plants and disease outcomes in animals, illustrating its applications beyond agriculture.

25 Sep 2021

RIT professor wins NSF award to expand capabilities of AI systems using brain-inspired methods

The National Science Foundation is giving a Rochester Institute of Technology professor an esteemed award to help him expand the capabilities of artificial intelligence systems using new brain-inspired methods.

25 Sep 2021

Trained computer program can aid physicians in accurately diagnosing breast cancer

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.

24 Sep 2021

AI technique could lead to new ways to predict cancer prognosis and treatment response

Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that can identify which cell surface peptides produced by cancer cells called neoantigens are recognized by the immune system.

24 Sep 2021

Genome modeling framework for coronavirus pathogenicity prediction

Recent machine learning techniques have allowed viral genome sequencing to be utilized in a predictive capacity.

23 Sep 2021

Researchers apply deep learning to PS-OCT systems to better detect cancer

Yi "Edwin" Sun, a Ph.D. candidate in electrical and computer engineering at the University of Illinois Urbana-Champaign and member of the Beckman Institute's Biophotonics Imaging Laboratory headed by Stephen Boppart, explored how deep learning methods can make polarization-sensitive optical coherence tomography, or PS-OCT, more cost-effective and better equipped to diagnose cancer in biological tissues.

23 Sep 2021

UMass Lowell researcher awarded $2.7 million NIH grant to shed light on Alzheimer's disease

The National Institutes of Health has awarded $2.7 million to a UMass Lowell researcher studying how Alzheimer's disease evolves.

22 Sep 2021

Discovery of genes opens the door to new treatments for obesity

Promising news in the effort to develop drugs to treat obesity: University of Virginia scientists have identified 14 genes that can cause and three that can prevent weight gain.

22 Sep 2021

Artificial intelligence predicts the risk of metastatic relapse in breast cancer patients

The RACE AI study conducted by Gustave Roussy and the startup Owkin, as part of the AI for Health Challenge organized by the Ile-de-France Region in 2019, was presented as a proffered paper at ESMO.

21 Sep 2021

Detecting early outcomes in COVID-19 patients

A new Nature study aimed to predict clinical data of COVID-19 patients based on clinical outcomes.

21 Sep 2021

BUSM assistant professor awarded $2.1 million for peripheral artery disease research

Peripheral artery disease (PAD) is a major cause of limb loss. It is estimated that PAD affects between 8.5 and 12 million Americans, with a prevalence that has increased by about 25 percent over the preceding decade.

21 Sep 2021

Decline in SARS-CoV-2 neutralizing antibodies and unique cytokine profile in severe COVID-19 patients

A new study has focused on antibody levels and cytokine profiles of COVID-19 patients with mild symptoms, pneumonia, and severe pneumonia.

21 Sep 2021

Cross-species locomotion features shared by dopamine-deficient worms, mice, and humans

Scientists from the Graduate School of Information Science and Technology at Osaka University used animal location tracking along with artificial intelligence to automatically detect walking behaviors of movement disorders that are shared across species.

18 Sep 2021

AI can help with the diagnosis of B-cell lymphomas and related leukemias

The presence of cancer of the lymphatic system is often determined by analyzing samples from the blood or bone marrow.

18 Sep 2021

Machine Learning News and Research

UVA researchers identify 14 genes that cause obesity

Direct-to-consumer machine learning model incorrectly classifies rare, aggressive skin cancers

New facility established for testing innovative health nanotechnologies

Patient-specific whole-heart computational models provide insights for personalized treatment

Machine learning may predict zoonotic potential of viral genomes

COVID Moonshot receives key funding to accelerate drug discovery efforts

Machine learning pinpoints genes that enable plants to grow more with less fertilizer

RIT professor wins NSF award to expand capabilities of AI systems using brain-inspired methods

Trained computer program can aid physicians in accurately diagnosing breast cancer

AI technique could lead to new ways to predict cancer prognosis and treatment response

Genome modeling framework for coronavirus pathogenicity prediction

Researchers apply deep learning to PS-OCT systems to better detect cancer

UMass Lowell researcher awarded $2.7 million NIH grant to shed light on Alzheimer's disease

Discovery of genes opens the door to new treatments for obesity

Artificial intelligence predicts the risk of metastatic relapse in breast cancer patients

Detecting early outcomes in COVID-19 patients

BUSM assistant professor awarded $2.1 million for peripheral artery disease research

Decline in SARS-CoV-2 neutralizing antibodies and unique cytokine profile in severe COVID-19 patients

Cross-species locomotion features shared by dopamine-deficient worms, mice, and humans

AI can help with the diagnosis of B-cell lymphomas and related leukemias

AI In Healthcare eBook

Sensing a Healthier Future

Achieving and maintaining ISO/IEC 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

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