Machine Learning News and Research

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AI scores breakthrough in anemia treatment with novel PHD inhibitor

Clinical stage generative artificial intelligence (AI)-driven biotechnology company InSilico Medicine ("InSilico"), today announced that the Journal of Medicinal Chemistry, an ACS Publications journal focusing on critical studies about molecular structure and biological activity, has published the company's discovery of a novel PHD inhibitor for the treatment of anemia.

19 Jan 2024

Insilico Medicine leverages AI to identify promising new target for breast and gynecological cancers

Insilico Medicine("Insilico"), a clinical stage generative artificial intelligence (AI)-driven drug discovery company, recently published an early research that it has identified MYT1 as a promising new therapeutic target for breast and gynecological cancer, and discovered a series of novel, potent, and highly selective inhibitors specifically targeting MYT1.

19 Jan 2024

Machine learning algorithm decodes mutations driving cancer treatment resistance

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers: predicting when cancer will resist chemotherapy.

18 Jan 2024

AI-driven algorithm accurately predicts death, complications after percutaneous coronary intervention

When a person has one or more blocked arteries, providers may choose to conduct a minimally invasive procedure known as percutaneous coronary intervention, or PCI.

17 Jan 2024

AI shows the same accuracy as a cardiologist in detecting rheumatic heart disease

Artificial intelligence (AI) has the potential to detect rheumatic heart disease (RHD) with the same accuracy as a cardiologist, according to new research demonstrating how sophisticated deep learning technology can be applied to this disease of inequity.

16 Jan 2024

Research projects aim to develop breakthrough digital technology for improving heart and brain health

A special issue of the Journal of the American Heart Association spotlights the progress of ongoing projects aimed at developing breakthrough digital technology solutions to improve heart and brain health on a global scale.

16 Jan 2024

Is AI the future of personalized hypertension risk assessment, diagnosis, and treatment?

Artificial intelligence (AI) applications for treating hypertension (HTN) and its comorbidities.

16 Jan 2024

Pioneering Genomic Progress: An Interview with Rami Mehio, Illumina's Software and Informatics Expert

In this interview, Rami Mehio, head of software and informatics at Illumina, shares his experiences and contributions to major genomic projects like the UK Biobank's whole genome sequencing. He discusses the challenges and innovations in genomic data analysis, highlighting Illumina's role in advancing genetic research and precision medicine.

From Illumina, Inc. 15 Jan 2024

Largest study using machine learning in neuroimaging sets new benchmark for major depression diagnosis

A benchmark classification of major depressive disorder (MDD) using machine learning (ML).

15 Jan 2024

New analysis of cancer cells identifies 370 targets for smarter, personalized treatments

A new, systematic analysis of cancer cells identifies 370 candidate priority drug targets across 27 cancer types, including breast, lung and ovarian cancers.

13 Jan 2024

UC San Diego develops revolutionary neural implant for deep brain recordings

Researchers at the University of California San Diego have developed a neural implant that provides information about activity deep inside the brain while sitting on its surface.

11 Jan 2024

Phylogenomic analysis to generate early warning signs for COVID-19 waves

The Transmission Fitness Polymorphism (TFP) scanner analysis pipeline to detect severe acute respiratory syndrome coronavirus 2.

11 Jan 2024

Is managing emotions more effective than boosting wellbeing in curbing teens' sweet tooth?

A recent study explored whether emotion-driven impulsiveness or psychosocial well-being contributes more to healthy or unhealthy food choices.

11 Jan 2024

Unearthing individual-level mutation risk patterns

Mutations, which occur continuously in every cell of our bodies, are a key contributor to cancer, ageing, and neurodegeneration.

10 Jan 2024

"TimeMachine" algorithm revolutionizes circadian rhythm analysis with single blood sample

"TimeMachine," an algorithm developed by U.S. researchers, accurately predicts circadian phase from a single blood sample using gene expression, offering a novel, efficient approach to understanding circadian rhythms and their impact on health.

9 Jan 2024

Using machine learning to predict disease progression in multiple sclerosis

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals.

9 Jan 2024

The secret to human brain's learning efficiency revealed

Researchers from the MRC Brain Network Dynamics Unit and Oxford University's Department of Computer Science have set out a new principle to explain how the brain adjusts connections between neurons during learning.

9 Jan 2024

New imaging technique could transform diagnosis and treatment of steatotic liver disease

Steatotic liver disease (SLD), previously known as non-alcoholic fatty liver disease, which includes a range of conditions caused by fat build-up in the liver due to abnormal lipid metabolism, affects about 25% of the population worldwide, making it the most common liver disorder.

9 Jan 2024

Innovative wearables offer glimpse into continuous, unobtrusive health monitoring

The recent advances and barriers in the development of wearable sensors.

9 Jan 2024

Inhalable point-of-care urinary diagnostic platform for early lung cancer detection

Using a new technology developed at MIT, diagnosing lung cancer could become as easy as inhaling nanoparticle sensors and then taking a urine test that reveals whether a tumor is present.

5 Jan 2024

Machine Learning News and Research

AI scores breakthrough in anemia treatment with novel PHD inhibitor

Insilico Medicine leverages AI to identify promising new target for breast and gynecological cancers

Machine learning algorithm decodes mutations driving cancer treatment resistance

AI-driven algorithm accurately predicts death, complications after percutaneous coronary intervention

AI shows the same accuracy as a cardiologist in detecting rheumatic heart disease

Research projects aim to develop breakthrough digital technology for improving heart and brain health

Is AI the future of personalized hypertension risk assessment, diagnosis, and treatment?

Pioneering Genomic Progress: An Interview with Rami Mehio, Illumina's Software and Informatics Expert

Largest study using machine learning in neuroimaging sets new benchmark for major depression diagnosis

New analysis of cancer cells identifies 370 targets for smarter, personalized treatments

UC San Diego develops revolutionary neural implant for deep brain recordings

Phylogenomic analysis to generate early warning signs for COVID-19 waves

Is managing emotions more effective than boosting wellbeing in curbing teens' sweet tooth?

Unearthing individual-level mutation risk patterns

"TimeMachine" algorithm revolutionizes circadian rhythm analysis with single blood sample

Using machine learning to predict disease progression in multiple sclerosis

The secret to human brain's learning efficiency revealed

New imaging technique could transform diagnosis and treatment of steatotic liver disease

Innovative wearables offer glimpse into continuous, unobtrusive health monitoring

Inhalable point-of-care urinary diagnostic platform for early lung cancer detection

AI In Healthcare eBook

Achieving and maintaining ISO/IEC 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

Examining how pain could play a direct protective role in the gut

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