Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

Researchers investigate COVID-19 data with logistic regression model training

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

19 Apr 2022

Miss rate of precancerous polyps in colorectal cancer screening reduced by artificial intelligence

Artificial intelligence reduced by twofold the rate at which precancerous polyps were missed in colorectal cancer screening, reported a team of international researchers led by Mayo Clinic.

18 Apr 2022

Study predicts that different statins exhibit divergent effects on host response to SARS-CoV-2 infection

A new study explores the possibility that different statins may exhibit different effects within the host and may differ in their outcomes while treating COVID-19 patients.

18 Apr 2022

New bioinformatics platform predicts optimal treatment combinations for cancer patients

Researchers at The University of Texas MD Anderson Cancer Center have developed a new bioinformatics platform that predicts optimal treatment combinations for a given group of patients based on co-occurring tumor alterations.

12 Apr 2022

Structural MRI scans of the brain may help guide treatment decisions for mental health disorders

The brain structure of patients with recent onset psychosis and depression can offer important biological insights into these illnesses and how they might develop.

12 Apr 2022

Machine-learning approach predicts development of conduct disorder with high accuracy

Conduct disorder (CD) is a common yet complex psychiatric disorder featuring aggressive and destructive behavior.

12 Apr 2022

Insight into the Breast Cancer Landscape with Breast Cancer Now

In this interview, we speak with Dr. Simon Vincent, Director of Research, Support, and Influencing at Breast Cancer Now, about the current landscape of breast cancer.

12 Apr 2022

Monitoring medication adherence for TB treatment in Africa using AI

Researchers aimed to develop an AI system that can evaluate medication adherence and non-adherence activities of TB patients based on their visual attributes obtained from videos.

11 Apr 2022

What does the Future of Microfluidics within Research Look Like?

We speak to France Hamber, CEO of Fluigent, about their microfluidics solutions and how they are allowing scientists to focus more on the science than the setup.

From Fluigent 11 Apr 2022

Challenges, unmet needs and future opportunities in COVID-19 therapeutics

In a recent article published in the journal Proceedings of the National Academy of Sciences (PNAS), researchers reviewed the present-day therapeutic landscape of coronavirus disease 2019 (COVID-19) and addressed future opportunities to overcome challenges that hinder drug development and improve the global preparedness for future pandemics.

10 Apr 2022

Machine learning and proteomics predict cardiovascular risk more accurately

An innovative proteomics-based model that predicts the risk of cardiovascular events with higher accuracy than current clinical models.

10 Apr 2022

Advanced microscopy reveals exciting insights into dynamic ultrastructure of the heart

What happens below the cellular level when the heart contracts and relaxes has long been unexplored. Thanks to new ultra-high-resolution electron microscopy techniques, scientists can now watch the heart beating – almost at a molecular level.

8 Apr 2022

Artificial intelligence model could predict side effects resulting from new combination therapies

Preliminary data from an artificial intelligence model could potentially predict side effects resulting from new combination therapies, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

8 Apr 2022

AI model uses electronic health records to identify people at high risk for pancreatic cancer

An artificial intelligence (AI) model trained using sequential health information derived from electronic health records identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 months, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

8 Apr 2022

Exploring SARS-CoV-2 detection by profiling micro RNAs

A new study analyzed the micro ribonucleic acid profiles in nasal swabs collected from COVID-19 patients.

8 Apr 2022

Researchers develop universal AI algorithm to "clean" noisy single-cell RNA sequencing data

Just as asking a single person about their health will provide tailored, personalized information impossible to glean from a large poll, an individual cell's genome or transcriptome can provide much more information about their place in living systems than sequencing a whole batch of cells.

7 Apr 2022

Machine learning model can identify people with PTSD by analyzing text data

University of Alberta researchers have trained a machine learning model to identify people with post-traumatic stress disorder with 80 per cent accuracy by analyzing text data.

7 Apr 2022

New ML models show high accuracy in predicting complications after abdominal hernia repair

Machine learning (ML) models developed by surgeons at the University of Texas MD Anderson Cancer Center in Houston have shown a high level of accuracy in predicting which types of patients are most likely to have a hernia recurrence or other complications.

7 Apr 2022

Researchers obtain a treasure trove of new data about RNA viruses from ocean water samples

Ocean water samples collected around the world have yielded a treasure trove of new data about RNA viruses, expanding ecological research possibilities and reshaping our understanding of how these small but significant submicroscopic particles evolved.

7 Apr 2022

Study suggests blunted serological responses not responsible for COVID-19 mortality

A new study investigated serological profiling to determine the antibody responses in critically ill COVID-19 positive and negative patients.

7 Apr 2022

Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

Researchers investigate COVID-19 data with logistic regression model training

Miss rate of precancerous polyps in colorectal cancer screening reduced by artificial intelligence

Study predicts that different statins exhibit divergent effects on host response to SARS-CoV-2 infection

New bioinformatics platform predicts optimal treatment combinations for cancer patients

Structural MRI scans of the brain may help guide treatment decisions for mental health disorders

Machine-learning approach predicts development of conduct disorder with high accuracy

Insight into the Breast Cancer Landscape with Breast Cancer Now

Monitoring medication adherence for TB treatment in Africa using AI

What does the Future of Microfluidics within Research Look Like?

Challenges, unmet needs and future opportunities in COVID-19 therapeutics

Machine learning and proteomics predict cardiovascular risk more accurately

Advanced microscopy reveals exciting insights into dynamic ultrastructure of the heart

Artificial intelligence model could predict side effects resulting from new combination therapies

AI model uses electronic health records to identify people at high risk for pancreatic cancer

Exploring SARS-CoV-2 detection by profiling micro RNAs

Researchers develop universal AI algorithm to "clean" noisy single-cell RNA sequencing data

Machine learning model can identify people with PTSD by analyzing text data

New ML models show high accuracy in predicting complications after abdominal hernia repair

Researchers obtain a treasure trove of new data about RNA viruses from ocean water samples

Study suggests blunted serological responses not responsible for COVID-19 mortality

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Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

AI In Healthcare eBook

Unveiling Hidden Potential: Organoids for Disease Modeling in Neuroscience Research

How GLP‑1 Agonists Are Shaping the Future of Obesity Treatment With Dr Bryony Henderson

Flow chemistry, AI, and NMR: A next-gen approach to scalable API production

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