Machine Learning News and Research

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New methodology predicts biological activity of any molecule

The Structural Bioinformatics and Network Biology laboratory, led by ICREA Researcher Dr. Patrick Aloy, has completed the bioactivity information for a million molecules using deep machine-learning computational models. It has also disclosed a tool to predict the biological activity of any molecule, even when no experimental data are available.

29 Jun 2021

Transfer learning technique achieves 99.24% success when detecting COVID-19 in chest x-rays

Results of this technique, known as transfer learning, achieved a 99.24 per cent success rate when detecting COVID-19 in chest x-rays.

28 Jun 2021

RAMBO can cut indexing times for huge DNA databases

Rice University computer scientists are sending RAMBO to rescue genomic researchers who sometimes wait days or weeks for search results from enormous DNA databases.

28 Jun 2021

Novel face mask can diagnose Covid-19 in 90 minutes

Engineers at MIT and Harvard University have designed a novel face mask that can diagnose the wearer with Covid-19 within about 90 minutes. The masks are embedded with tiny, disposable sensors that can be fitted into other face masks and could also be adapted to detect other viruses.

28 Jun 2021

Mutation-signature–associated metrics predict cancer progression in patients

Oncotarget published "Predicting clinical outcomes using cancer progression associated signatures" which reported somatic mutation signatures are an informative facet of cancer etiology, however they are rarely useful for predicting patient outcome.

28 Jun 2021

New artificial intelligence system could lead to improved ways to control high ozone problems

Ozone levels in the earth's troposphere (the lowest level of our atmosphere) can now be forecasted with accuracy up to two weeks in advance, a remarkable improvement over current systems that can accurately predict ozone levels only three days ahead.

25 Jun 2021

New blood test can accurately detect 50 types of cancer before symptoms emerge

Final results from a study of a blood test that can detect more than 50 types of cancer have shown that it is accurate enough to be rolled out as a multi-cancer screening test among people at higher risk of the disease, including patients aged 50 years or older, without symptoms.

25 Jun 2021

Researchers create first detailed atlas of the developing mouse brain

Researchers at Harvard University and the Broad Institute of MIT and Harvard have created a first detailed atlas of a critical region of the developing mouse brain, applying multiple advanced genomic technologies to the part of the cerebral cortex that is responsible for processing sensation from the body.

24 Jun 2021

Nanotechnology and artificial intelligence may be valuable components in securing global food production

An international team of researchers led by scientists at the University of Birmingham, UK, developed a series of steps to follow that could harness AI and integrate the power of nanomaterials safely, sustainably and responsibly, into agricultural practices..

24 Jun 2021

Machine learning tools can help identify tooth loss

Tooth loss is often accepted as a natural part of aging, but what if there was a way to better identify those most susceptible without the need for a dental exam?

24 Jun 2021

A new communication concept to detect virus-laden particles

How long do virus-laden particles persist in an elevator after a person infected with COVID-19 leaves? And is there a way to detect those particles? A group of electrical engineers and computer scientists at KAUST set out to answer these questions using mathematical fluid dynamics equations.

24 Jun 2021

Machine-learning approach could accurately predict the evolution of breast cancer

From amoebas to zebras, all living things evolve. They change over time as pressures from the environment cause individuals with certain traits to become more common in a population while those with other traits become less common.

24 Jun 2021

Insilico Medicine receives $255 million to develop AI and drug discovery capabilities

Insilico Medicine, a global leader in end-to-end artificial intelligence for target discovery, small molecule chemistry, and clinical development, announced that it has closed a $255 million from biotechnology experts to progress Insilico Medicine's current therapeutic programs into human clinical trials, initiate multiple new programs for novel and difficult targets, and further develop its AI and drug discovery capabilities.

23 Jun 2021

New AI system can help identify novel therapeutic targets implicated in various diseases

Insilico Medicine is pleased to announce that it has entered into a collaboration with Teva Branded Pharmaceutical Products R&D, Inc. to utilize Insilico's generative machine learning technology and proprietary PandaOmics Drug Discovery Platform, which aims at identifying novel therapeutic targets implicated in a variety of diseases.

23 Jun 2021

New test bed launched to advance the regenerative medicine field

The RegeneratOR Test Bed has officially launched, bringing together resources to advance the regenerative medicine field nationally and create an economic development engine for the region and the state overall.

22 Jun 2021

New method accurately detects virulent infections in advance

When viruses infect cells, changes in the cell nucleus occur, and these can be observed through fluorescence microscopy.

21 Jun 2021

Artificial nose based on carbon dots can sniff out bacteria

A team of scientists at Ben-Gurion University of the Negev (BGU) have invented an artificial nose that is capable of continuous bacterial monitoring, which has never been previously achieved and could be useful in multiple medical, environmental and food applications.

21 Jun 2021