Machine Learning News and Research

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New biomarkers may identify Type 1 diabetes patients who could benefit from immunotherapy

Scientists at UCL have discovered new biomarkers, which may identify those people with Type 1 diabetes who would benefit from the immunotherapy drug Abatacept, a finding which could eventually help thousands manage the disease more effectively.

3 Aug 2020

Oxford University and ZOE join forces to widen access to COVID-19 treatment trials

Oxford University and the COVID Symptom Study app are joining forces to widen access to two clinical trials of potential treatments for COVID-19.

3 Aug 2020

New method to detect rare circulating tumor cells in blood samples

Metastasis - the development of tumor growth at a secondary site - is responsible for the majority of cancer-related deaths. It occurs when the primary tumor site sheds cancerous cells which are then circulated through the body via blood vessels or lymph nodes.

3 Aug 2020

Screening for pancreatic cancer using artificial intelligence

Dr. Ananya Malhotra speaks to News-Medical about her research into how pancreatic cancer prognosis could be improved by using artificial intelligence.

3 Aug 2020

UVA now supports engineering-to-medicine faculty fellowships

The University of Virginia's Center for Engineering in Medicine now supports faculty fellowships that embed engineering faculty members within the UVA School of Medicine.

31 Jul 2020

New technique can predict potential preterm birth with 73% accuracy in high-risk women

A new technique that can spot a potential preterm birth in asymptomatic high-risk women, with up to 73% accuracy months before delivery, has been developed by scientists at the University of Warwick.

30 Jul 2020

Loss of smell in COVID-19 explained by scientists

Now, a team of researchers at Harvard Medical school says they have found the reason why some people who get COVID-19 experience loss of smell.

29 Jul 2020

New technique spots potential preterm birth in asymptomatic high-risk women

A new technique that can spot a potential preterm birth in asymptomatic high-risk women, with up to 73% accuracy months before delivery, has been developed by scientists at the University of Warwick.

29 Jul 2020

Artificial intelligence can expedite Alzheimer's diagnosis, improve patient prognosis

Artificial intelligence (AI) could help to diagnose Alzheimer's faster and improve patient prognosis, a new study from the University of Sheffield has revealed.

28 Jul 2020

Federated learning approach can help answer different medical questions

To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions.

28 Jul 2020

TARA Biosystems and VantAI team up to accelerate drug development for cardiac disease

VantAI and TARA Biosystems today announced the launch of a biology-driven, AI-enabled collaboration for accelerated cardiac drug development.

28 Jul 2020

Flu vaccine may lower chances of getting Alzheimer's disease

People who received at least one flu vaccination were 17% less likely to get Alzheimer's disease over the course of a lifetime, according to researchers at The University of Texas Health Science Center at Houston.

27 Jul 2020

Curi Bio Acquires Dana Solutions

Curi Bio has acquired Dana Solutions, a pioneer in the application of artificial intelligence and machine learning to in vitro cell-based assays.

From Curi Bio 27 Jul 2020

New cancer imaging system hastens cancer detection

A new study highlights a novel imaging system that utilizes near-infrared light, which makes the procedure less invasive and produces faster results.

24 Jul 2020

Data scientists design OR Black Box to monitor operating rooms and streamline surgeries

Two Columbia Data Science Institute graduates work for the startup Surgical Safety Technologies (SST), whose data-driven technology is helping hospitals become more efficient, streamlined and safer.

23 Jul 2020

Simple urine test could speed up adrenal cancer diagnosis

Using a simple urine test alongside routine imaging for patients with adrenal masses could speed up adrenal cancer diagnosis, improving patient's prognosis and reducing the need for invasive diagnostic procedures, a new multi-centre study published in The Lancet Diabetes & Endocrinology has found.

23 Jul 2020

New technology could speed up drug discovery to fight tuberculosis

A new technology that combines high throughput imaging and machine learning could speed discovery of drugs to fight tuberculosis, which for generations has killed more people worldwide than any other disease caused by a single agent - 4,000 people every day.

23 Jul 2020

Machine Learning News and Research

New biomarkers may identify Type 1 diabetes patients who could benefit from immunotherapy

Oxford University and ZOE join forces to widen access to COVID-19 treatment trials

New method to detect rare circulating tumor cells in blood samples

Screening for pancreatic cancer using artificial intelligence

UVA now supports engineering-to-medicine faculty fellowships

New technique can predict potential preterm birth with 73% accuracy in high-risk women

Loss of smell in COVID-19 explained by scientists

New technique spots potential preterm birth in asymptomatic high-risk women

Artificial intelligence can expedite Alzheimer's diagnosis, improve patient prognosis

Federated learning approach can help answer different medical questions

TARA Biosystems and VantAI team up to accelerate drug development for cardiac disease

Flu vaccine may lower chances of getting Alzheimer's disease

Curi Bio Acquires Dana Solutions

New cancer imaging system hastens cancer detection

Data scientists design OR Black Box to monitor operating rooms and streamline surgeries

Simple urine test could speed up adrenal cancer diagnosis

New technology could speed up drug discovery to fight tuberculosis

Novel imaging system can diagnose cancer more efficiently than conventional methods

UVA scientists harness the potential of quantum computers to study genetic diseases

Research could pave way for using machine learning to guide treatment for Parkinson’s

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