Machine Learning News and Research

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An integrated molecular diagnostic approach for detecting SARS-CoV-2 variants

Researchers developed an integrated approach combining NGS, molecular barcoding, machine learning, and bioinformatics to enable high-throughput detection of SARS-CoV-2 variants.

23 Jun 2022

Wearable activity trackers combined with AI may aid in early identification of COVID-19

Wearable activity trackers that monitor changes in skin temperature and heart and breathing rates, combined with artificial intelligence (AI), might be used to pick up COVID-19 infection days before symptoms start, suggests preliminary research published in the open access journal BMJ Open.

22 Jun 2022

Olfactory sensor can authenticate individuals by analyzing their breath

Biometric authentication like fingerprint and iris scans are a staple of any spy movie, and trying to circumvent those security measures is often a core plot point. But these days the technology is not limited to spies, as fingerprint verification and facial recognition are now common features on many of our phones.

22 Jun 2022

Brain tumor classification can become more accurate with the use of artificial intelligence and physiological imaging

The classification of brain tumors – and thus the choice of optimal treatment options – can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.

22 Jun 2022

First open-source program can improve detection and tracking of pathogenic DNA sequences

It's a given that certain bacteria and viruses can cause illness and disease, but the real culprits are the sequences of concern that lie within the genomes of these microbes.

21 Jun 2022

Infodemiological study on the effect of the COVID-19 pandemic on global headache incidence

Researchers reported the effect of COVID-19 on the global number of headache incidences.

21 Jun 2022

MRI-based machine learning approach can accurately predict Alzheimer’s disease

The research uses machine learning technology to look at structural features within the brain, including in regions not previously associated with Alzheimer's.

20 Jun 2022

Machine learning predictive model for screening of LNP-based mRNA vaccines

In this new article publication from Acta Pharmaceutica Sinica B, authors Wei Wang, Shuo Feng, Zhuyifan Ye, Hanlu Gao, Jinzhong Lin and Defang Ouyang from University of Macau, Macau, China and Fudan University, Shanghai, China discuss the prediction of lipid nanoparticles for mRNA vaccines by machine learning algorithms.

18 Jun 2022

Sensor-equipped computer program tracks the patients' arm movements during stroke rehabilitation

A sensor-equipped computer program can accurately identify and count arm movements in people participating in stroke rehabilitation, a new study shows.

16 Jun 2022

Multiomics identifies genomic risk factors for COVID-19

In a recent Cell Systems study, researchers utilized the RefMap machine learning algorithm to correlate known genomic variations for severe COVID-19 obtained from large-scale genome-wide association studies (GWAS) with single-cell multiome profiling of human lungs.

16 Jun 2022

More than 1,000 genes linked to severe COVID-19 identified

Since the start of the coronavirus pandemic, scientists and clinicians have struggled to understand why some people with the infection become seriously ill or die while others have few, if any, symptoms.

15 Jun 2022

Study shows alarming trends in mortality from alcoholic cirrhosis in the U.S.

Alcoholic cirrhosis is an advanced form of alcohol-related liver disease. In the United States between 2010 and 2016, alcohol-related liver disease was the primary cause of nearly 1 in 3 liver transplants, surpassing hepatitis C.

14 Jun 2022

Researchers discover specific genetic signals in people who develop severe COVID-19

Researchers from the University of Sheffield and Stanford University in the US have discovered there are specific genetic signals in people who develop severe coronavirus infection.

14 Jun 2022

Analysis of a woman's genome can help predict miscarriage risk and IVF failure

A woman's risk of suffering one of the most common types of miscarriages can be predicted based on a specialized analysis of her genome, according to a Rutgers study.

14 Jun 2022

MIT researchers design new sensor to distinguish between viral and bacterial pneumonia

Many different types of bacteria and viruses can cause pneumonia, but there is no easy way to determine which microbe is causing a particular patient's illness.

13 Jun 2022

Ultrasound-based AI classifier of thyroid nodules can help rule out cancer, avoid unnecessary biopsies

Artificial intelligence (AI) can be used to identify thyroid nodules seen on thyroid ultrasound that are very unlikely to be cancerous, reducing a large number of unnecessary biopsies, according to a new study being presented Saturday at ENDO 2022, the Endocrine Society's annual meeting in Atlanta, Ga.

13 Jun 2022

New machine learning algorithm finds a gene signature characteristic of tumors

How do cancer cells differ from healthy cells? A new machine learning algorithm called "ikarus" knows the answer, reports a team led by MDC bioinformatician Altuna Akalin in the journal Genome Biology. The AI program has found a gene signature characteristic of tumors.

10 Jun 2022

Using artificial intelligence to discover new antivirals against COVID-19 and future pandemics

Research into drugs to treat mosquito-borne flaviviruses such as Zika and dengue as well as COVID-19will benefit from a major funding boost, says a group of international scientists using artificial intelligence to discover new oral antivirals.

10 Jun 2022

USA–Japan Workshop participants present cutting-edge research on biomarkers for early detection of cancer

Successful treatment of cancer frequently depends on early detection. However, many cancers are detected late, often after metastasizing to other sites.

9 Jun 2022

Insilico Medicine plans to launch a fully automated AI-driven robotics lab for drug discovery

Insilico Medicine's end-to-end AI-driven drug discovery platform, Pharma.AI, draws its strength from the quality and quantity of its data. As Insilico scientific advisory board member and Nobel Prize laureate in chemistry Dr. Michael Levitt has said, Insilico's platform capitalizes on the ability of artificial intelligence to take vast amounts of data from many different components and find patterns and make predictions that can point the way to new life-saving medications.

9 Jun 2022

Machine Learning News and Research

An integrated molecular diagnostic approach for detecting SARS-CoV-2 variants

Wearable activity trackers combined with AI may aid in early identification of COVID-19

Olfactory sensor can authenticate individuals by analyzing their breath

Brain tumor classification can become more accurate with the use of artificial intelligence and physiological imaging

First open-source program can improve detection and tracking of pathogenic DNA sequences

Infodemiological study on the effect of the COVID-19 pandemic on global headache incidence

MRI-based machine learning approach can accurately predict Alzheimer’s disease

Machine learning predictive model for screening of LNP-based mRNA vaccines

Sensor-equipped computer program tracks the patients' arm movements during stroke rehabilitation

Multiomics identifies genomic risk factors for COVID-19

More than 1,000 genes linked to severe COVID-19 identified

Study shows alarming trends in mortality from alcoholic cirrhosis in the U.S.

Researchers discover specific genetic signals in people who develop severe COVID-19

Analysis of a woman's genome can help predict miscarriage risk and IVF failure

MIT researchers design new sensor to distinguish between viral and bacterial pneumonia

Ultrasound-based AI classifier of thyroid nodules can help rule out cancer, avoid unnecessary biopsies

New machine learning algorithm finds a gene signature characteristic of tumors

Using artificial intelligence to discover new antivirals against COVID-19 and future pandemics

USA–Japan Workshop participants present cutting-edge research on biomarkers for early detection of cancer

Insilico Medicine plans to launch a fully automated AI-driven robotics lab for drug discovery

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