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New AI modules boost polyp segmentation in colonoscopy imagery

Researchers have developed a pair of modules that gives a boost to the use of artificial neural networks to identify potentially cancerous growths in colonoscopy imagery, traditionally plagued by image noise resulting from the colonoscopy insertion and rotation process itself.

7 Aug 2023

How do dietary patterns influence inflammatory bowel disease?

Researchers used bibliometrics to analyze studies describing the effects of dietary patterns on inflammatory bowel disease (IBD).

7 Aug 2023

Machine learning in neurodegenerative disease research: a growing trend

Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

4 Aug 2023

Nutrition meets cancer therapy: How gut microbiome and diet impact immunotherapy success

Researchers investigated the complex relationship between gut bacteria, diet, and patient nutrition.

4 Aug 2023

GEMINI test shows promise for early detection of lung cancer

Novel blood testing technology being developed by researchers at the Johns Hopkins Kimmel Cancer Center that combines genome-wide sequencing of single molecules of DNA shed from tumors and machine learning may allow earlier detection of lung and other cancers.

4 Aug 2023

Deep learning improves protein design by 10x

The key to understanding proteins -; such as those that govern cancer, COVID-19, and other diseases -; is quite simple. Identify their chemical structure and find which other proteins can bind to them. But there's a catch.

3 Aug 2023

Radiomic and clinical data could help increase diagnostic accuracy for pediatric Crohn disease

An accepted manuscript published in the American Journal of Roentgenology (AJR) found that deploying a radiomic-based model with T2-weighted MRI data could increase diagnostic accuracy for pediatric Crohn disease (CD).

3 Aug 2023

Insilico Medicine's new AI tool shows promise in predicting clinical trial outcomes

Insilico Medicine ("Insilico"), a clinical-stage end-to-end generative artificial intelligence (AI) drug discovery company, has demonstrated that it can predict the outcome of Phase II to Phase III clinical trial success using its proprietary transformer-based AI clinical trial prediction tool called inClinico with a high degree of accuracy.

3 Aug 2023

Smartphone app uses machine learning to accurately detect stroke symptoms

Today at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients' physical signs of stroke with the power of machine learning.

2 Aug 2023

Insilico Medicine uses AI to discover novel SIK2 inhibitors

Insilico Medicine ("Insilico"), a clinical-stage end-to-end generative artificial intelligence (AI) drug discovery company, has achieved a significant breakthrough in the application of multiple generative AI models and AlphaFold structures for drug discovery.

2 Aug 2023

Does vigorous intermittent lifestyle physical activity have an association with incident cancer among nonexercising adults?

Researchers evaluated the relationship between device-monitored, VILPA and cancer

2 Aug 2023

Revolutionizing COVID-19 ARDS prediction: a deep learning model for critically ill patients

Researchers developed and evaluated a deep learning model for predicting coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS).

31 Jul 2023

New reference database Greengenes2 improves reproducibility of microbiome studies

Two leading sequencing techniques are no longer at odds, thanks to an international effort led by scientists at University of California San Diego.

27 Jul 2023

Medical students recognize AI's potential in medicine, call for ethical education

A team of researchers assessed medical students' understanding, perceptions, and educational preferences related to artificial intelligence.

27 Jul 2023

Lab-on-a-chip technologies offer new ways to assess stored red blood cells

Ziya Isiksacan, PhD, a research fellow in the Center for Engineering in Medicine and Surgery (CEMS) is the lead author, and Osman Berk Usta, PhD, an investigator in the CEMS at Massachusetts General Hospital and an associate professor of Surgery at Harvard Medical School, is the senior author of a new study published in PNAS, Assessment of Stored Red Blood Cells Through Lab-on-a-Chip Technologies for Precision Transfusion Medicine.

26 Jul 2023

Machine Learning News and Research

New AI modules boost polyp segmentation in colonoscopy imagery

How do dietary patterns influence inflammatory bowel disease?

Machine learning in neurodegenerative disease research: a growing trend

Nutrition meets cancer therapy: How gut microbiome and diet impact immunotherapy success

GEMINI test shows promise for early detection of lung cancer

Deep learning improves protein design by 10x

Radiomic and clinical data could help increase diagnostic accuracy for pediatric Crohn disease

Insilico Medicine's new AI tool shows promise in predicting clinical trial outcomes

Smartphone app uses machine learning to accurately detect stroke symptoms

Insilico Medicine uses AI to discover novel SIK2 inhibitors

Does vigorous intermittent lifestyle physical activity have an association with incident cancer among nonexercising adults?

Revolutionizing COVID-19 ARDS prediction: a deep learning model for critically ill patients

New reference database Greengenes2 improves reproducibility of microbiome studies

Medical students recognize AI's potential in medicine, call for ethical education

Lab-on-a-chip technologies offer new ways to assess stored red blood cells

More steps linked to improved health for heart failure patients

American Heart Association grants $2.1 million to study migraines and cardiovascular disease

Research uncovers new insights into post-COVID-19 syndrome (PCS) phenotypes and impact on quality of life

New computational tool could boost pandemic preparedness

The relationships between risk factors and kidney events in two diabetic cohorts

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