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Clinical outcomes of regdanvimab usage in patients with mild to moderate COVID-19

Researchers evaluated the effectiveness of regdanvimab on clinical outcomes in patients with mild to moderate COVID-19.

7 Mar 2022

Exploring biomedical literature and clinical trial records to identify new drug combinations for COVID-19 treatment

Researchers extensively searched publicly available SARS-CoV-2 biomedical literature to identify drug combinations that could effectively treat COVID-19.

7 Mar 2022

First-of-its-kind, innovative application for wheelchair users living with tetraplegia

Brooks Rehabilitation recently announced that the MagTrack study, a collaborative research endeavor with the Georgia Tech School of Electrical and Computer Engineering, has been successfully completed.

4 Mar 2022

Deep learning-based SERS analysis platform offers a fast and effective way to identify bacteria

Bacterial identification can take hours and often longer, precious time when diagnosing infections and selecting appropriate treatments.

4 Mar 2022

COVID-19 and the life sciences; what have we learned and where are we going?

News-Medical attended the 2022 SLAS press briefing where Peter Simpson, Michael Girardi, and Simon Meffan-Main gave their thoughts on the life sciences sector post-COVID-19.

From Society for Laboratory Automation and Screening (SLAS) 4 Mar 2022

Proactive machine learning models could speed data collection and analysis in healthcare

Shifting machine learning workflows to a proactive model could speed data collection and analysis in healthcare, according to a viewpoint article published in JAMA.

3 Mar 2022

Study explores signature gut microbiome connection with immune checkpoint inhibitor response in advanced melanomas

Researchers from different countries performed a meta-analysis of real-world cross-cohorts and provided an association of the gut microbiome with immune checkpoint inhibitors response in patients with advanced melanomas.

2 Mar 2022

Researchers explore a human speech recognition model based on machine learning

Hearing loss is a rapidly growing area of scientific research as the number of baby boomers dealing with hearing loss continues to increase as they age.

2 Mar 2022

AI and machine learning could improve cancer diagnosis through biomarker discovery

Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have transformed many industries and areas of science.

1 Mar 2022

Using AI to detect antibiotic resistance

In this interview, we speak to Professor Karsten Borgwardt and Professor Adrian Egli about their latest research that used AI to predict antibiotic resistance.

1 Mar 2022

COVID-19 severity is correlated with body composition

In a recent study posted to the medRxiv* preprint server, researchers assessed the effect of changes in the abdominal well-being and physique on coronavirus disease 2019 (COVID-19) severity using magnetic resonance imaging (MRI).

28 Feb 2022

Harvard researcher develops new model system to illuminate the fundamentals of aging

Huge amounts of time and money have been devoted to finding treatments for diseases that become more common as we age, like cancer and Alzheimer's.

28 Feb 2022

New data analysis tool reveals immune cell types associated with COVID-19 mortality risk

A new data analysis tool developed by Yale researchers has revealed the specific immune cell types associated with increased risk of death from COVID-19, they report Feb. 28 in the journal Nature Biotechnology.

28 Feb 2022

Machine learning model identifies factors that contribute to antibiotic resistance in recurrent infections

A machine learning model built with data from thousands of patients with wound infections and urinary tract infections identified the factors that contribute to antibiotic resistance in recurrent infections.

24 Feb 2022

AI model could be a low-cost, non-invasive option for thyroid cancer screening and staging

A new study finds that an artificial intelligence (AI) model incorporating multiple methods of machine learning accurately detects thyroid cancer and predicts pathological and genomic outcomes through analysis of routine ultrasound images.

24 Feb 2022

Deep-learning based image reconstruction approach may improve detection of breast cancer

Researchers have developed a new image reconstruction approach that could contribute to better breast cancer detection. The deep learning algorithm overcomes a major hurdle in multi-modality imaging by allowing images to be recovered in real time.

24 Feb 2022

Phase I clinical trial evaluates AI-discovered first anti-fibrotic small molecule inhibitor

Insilico Medicine, an end-to-end artificial intelligence (AI)-driven drug discovery company, today announced that it has dosed multiple healthy volunteers in Phase I clinical trial evaluating ISM001-055, the first anti-fibrotic small molecule inhibitor generated by Insilico's AI-powered drug discovery platform for idiopathic pulmonary fibrosis (IPF).

24 Feb 2022

Artificially intelligent olfactory system may diagnose Parkinson’s disease at an early stage

A couple of years ago, a woman named Joy Milne made headlines when scientists discovered that she could "smell" Parkinson's disease (PD) on people with the neurodegenerative disorder.

23 Feb 2022

Study reveals the various ways patients with multiple sclerosis acquire disability

A new study conducted by researchers from the Corrine Goldsmith Dickinson Center for Multiple Sclerosis at Icahn School of Medicine at Mount Sinai in collaboration with Novartis, the University of Oxford and key MS experts across the globe, has revealed detailed information on the various ways patients with multiple sclerosis (MS) acquire disability.

23 Feb 2022

AI-powered tutor can outperform expert human instructors in a remote environment

The COVID-19 pandemic has presented both challenges and opportunities for medical training. Remote learning technology has become increasingly important in several fields.

22 Feb 2022

Machine Learning News and Research

Clinical outcomes of regdanvimab usage in patients with mild to moderate COVID-19

Exploring biomedical literature and clinical trial records to identify new drug combinations for COVID-19 treatment

First-of-its-kind, innovative application for wheelchair users living with tetraplegia

Deep learning-based SERS analysis platform offers a fast and effective way to identify bacteria

COVID-19 and the life sciences; what have we learned and where are we going?

Proactive machine learning models could speed data collection and analysis in healthcare

Study explores signature gut microbiome connection with immune checkpoint inhibitor response in advanced melanomas

Researchers explore a human speech recognition model based on machine learning

AI and machine learning could improve cancer diagnosis through biomarker discovery

Using AI to detect antibiotic resistance

COVID-19 severity is correlated with body composition

Harvard researcher develops new model system to illuminate the fundamentals of aging

New data analysis tool reveals immune cell types associated with COVID-19 mortality risk

Machine learning model identifies factors that contribute to antibiotic resistance in recurrent infections

AI model could be a low-cost, non-invasive option for thyroid cancer screening and staging

Deep-learning based image reconstruction approach may improve detection of breast cancer

Phase I clinical trial evaluates AI-discovered first anti-fibrotic small molecule inhibitor

Artificially intelligent olfactory system may diagnose Parkinson’s disease at an early stage

Study reveals the various ways patients with multiple sclerosis acquire disability

AI-powered tutor can outperform expert human instructors in a remote environment

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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