Machine Learning News and Research

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MIS-C in children: A distinct autoimmune response to COVID-19 unveiled

The study reveals that MIS-C patients, post SARS-CoV-2 infection, develop a unique immune response against the virus' N protein, indicating a cross-reactivity with the self-protein SNX8, which might link the infection to the ensuing inflammatory syndrome.

8 Jun 2023

Insilico Medicine nominates pan-TEAD inhibitor as a potential solution for drug resistance in solid tumor patients

Insilico Medicine, a generative artificial intelligence (AI)-driven clinical-stage drug discovery company, today announced the nomination of ISM6331, a potential best-in-class pan-TEAD inhibitor, as a preclinical candidate compound (PCC) generated by Chemistry42, its proprietary generative chemistry-driven molecule design engine, targeting the Hippo pathway for the treatment of advanced solid tumors.

8 Jun 2023

An overview of the relationship between the exposome and cardiovascular health

Researchers discussed the association between cardiovascular health and the exposome.

8 Jun 2023

Electronic health records identified as hidden source of bias impacting clinical trials

Results of clinical trials are only as good as the data upon which they rest. This is especially true in terms of diversity -; if most people in a trial are from a certain race or socioeconomic group, then the results may not be broadly applicable.

7 Jun 2023

How do antibiotics affect the ecology of the gut microbiome?

Each person's gut microbiome contains a specific community of microorganisms that normally remains stable for years. However, it can be thrown off balance by factors such as dietary changes, infections or medications. Antibiotics in particular have a strong influence on the microbiome. In response, microorganisms employ various resistance mechanisms, with individual bacterial populations evolving through selection of antibiotic-resistant variants. Yet, the extent and mechanisms of these processes and their impact on the ecology of the microbial community are poorly understood.

7 Jun 2023

New deep learning model lays the foundation for specialized diagnostic models

Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train.

7 Jun 2023

New strategy to grow and measure how tumor organoids respond to therapy

Scientists from the UCLA Jonsson Comprehensive Cancer Center have developed a new method to bioprint miniature tumor organoids that are designed to mimic the function and architecture of real tumors. The improved process allows researchers to use an advanced imaging method to study and analyze individual organoids in great detail, which can help researchers identify personalized treatments for people with rare or hard-to-treat cancers.

7 Jun 2023

Prenatal COVID boosts protective power of breast milk

The impact of SARS-CoV-2 infection during pregnancy on postpartum human milk-derived extracellular vesicles.

6 Jun 2023

Is there radiographic evidence of premature brain aging in individuals with type 1 diabetes?

Researchers identified brain regions most affected in middle-aged and older adults with type I diabetes.

6 Jun 2023

Efficient machine learning pipeline predicts the location of nanoscale interactions

Identifying whether and how a nanoparticle and protein will bind with one another is an important step toward being able to design antibiotics and antivirals on demand, and a computer model developed at the University of Michigan can do it.

6 Jun 2023

Scientists develop AI-based method to visualize and track changes in the strength of synapses

Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses — the connection points through which nerve cells in the brain communicate — in live animals.

5 Jun 2023

Lindus Health secures funding to accelerate the use of technology for revolutionizing clinical trials

Ground-breaking trials run by London-based start-up Lindus Health are kicking off to find innovative treatments for conditions including tinnitus, insomnia and progressive childhood short-sightedness.

5 Jun 2023

Can machine learning predict BMI in early childhood using data from the first 1000 days of life?

Researchers used a machine learning (ML)-based approach to predict adulthood obesity.

2 Jun 2023

Innovative approach for detecting pre-cancerous lesions using large, high-res images

A new study presents an innovative approach to the crucial detection of pre-cancerous lesions using large, high-res images.

1 Jun 2023

New algorithm could improve the search for genetic cause of hereditary diseases

So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations on RNA formation six times more precisely than previous models.

1 Jun 2023

Machine Learning News and Research

MIS-C in children: A distinct autoimmune response to COVID-19 unveiled

Insilico Medicine nominates pan-TEAD inhibitor as a potential solution for drug resistance in solid tumor patients

An overview of the relationship between the exposome and cardiovascular health

Electronic health records identified as hidden source of bias impacting clinical trials

How do antibiotics affect the ecology of the gut microbiome?

New deep learning model lays the foundation for specialized diagnostic models

New strategy to grow and measure how tumor organoids respond to therapy

Prenatal COVID boosts protective power of breast milk

Is there radiographic evidence of premature brain aging in individuals with type 1 diabetes?

Efficient machine learning pipeline predicts the location of nanoscale interactions

Scientists develop AI-based method to visualize and track changes in the strength of synapses

Lindus Health secures funding to accelerate the use of technology for revolutionizing clinical trials

Can machine learning predict BMI in early childhood using data from the first 1000 days of life?

Innovative approach for detecting pre-cancerous lesions using large, high-res images

New algorithm could improve the search for genetic cause of hereditary diseases

Easy-to-use ankle exosuit could help stroke survivors improve their gait during daily routines

AI can accurately identify changes in brain structure related to head injury in student athletes

Precision nutrition vs. low-fat diet: No significant difference in diabetes management

Artificial intelligence in sperm selection for assisted reproduction

Scientists use AI to identify new antibiotic that could fight drug-resistant infections

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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