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Next-Generation Microscopy Image Analysis with Deep-Learning Technology

Image analysis is a critical part of many life science applications. Analyses that rely on segmentation to extract targets, such as cells and organelles, from the rest of the image are commonplace.

From Evident Corporation - Life Sciences 8 Apr 2020

Scientist proposes geroprotective strategies to reduce lethality of COVID-19 in the elderly

The Biogerontology Research Foundation, a registered UK charity supporting and promoting aging and longevity research worldwide since 2008, today announced the publication of a paper titled "Geroprotective and senoremediative strategies to reduce the comorbidity, infection rates, severity, and lethality in gerophilic and gerolavic infections" in the leading journal Aging.

6 Apr 2020

Hyped claims that AI outdoes doctors at diagnosis could harm patient safety

A number of studies claim that artificial intelligence (AI) does as well or better than doctors at interpreting images and diagnosing medical conditions. However, a recent study published in The BMJ in March 2020 reveals that most of this research is flawed, and the results exaggerated. The outcome could be that the decision to adopt AI as part of patient care is based upon faulty premises, compromising the quality of patient care for millions of people.

25 Mar 2020

AI could enhance prediction of treatment response among patients with non-small cell lung cancer

Artificial intelligence deep learning algorithms may predict response to systemic treatment for non-small cell lung cancer.

23 Mar 2020

Researches develop a new method of scanning probe microscopy controlled by AI

A team have established a method of fully autonomous scanning probe microscopy (SPM) controlled by artificial intelligence.

19 Mar 2020

Scientists use artificial intelligence to create new proteins unseen in nature

Researchers have presented a artificial intelligence method for developing new proteins that have never been seen in nature.

17 Mar 2020

UC Riverside biochemist and Atomwise form new joint venture

Over the past few years, biochemist John Jefferson Perry at the University of California, Riverside, has collaborated on a number of projects with Atomwise Inc., a company that uses artificial intelligence, or AI, for drug discovery.

13 Mar 2020

Deep learning algorithm to enhance mammography screening interpretation

The study is based on the results obtained in the Digital Mammography DREAM Challenge, an international competition led by IBM where researchers from the Instituto de Física Corpuscular have participated along with scientists from the UPV's Institute of Telecommunications and Multimedia Applications.

5 Mar 2020

AI may help identify newborns at risk for aggressive posterior retinopathy of prematurity

An artificial intelligence device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity.

4 Mar 2020

Study suggests guidelines to enhance content of educational videos on chronic conditions

Many people with chronic health conditions search social media, including YouTube videos, to learn more about how to manage their diagnoses. But these videos differ in how well they communicate information and hold viewers' attention.

3 Mar 2020

Profit-prediction system may reduce suicide rates among indebted farmers in India

Researchers at Penn State are taking steps to address the alarming rate of suicides among indebted farmers in India, by developing a deep-learning algorithm as the first step in a decision-support system that could predict future market values of crops.

3 Mar 2020

New research cluster aims to use mass spectrometry to provide insights in systems medicine

The Mainz University Medical Center and Johannes Gutenberg University Mainz are establishing the interdisciplinary research cluster entitled "Data-Independent Acquisition-based Systems Medicine (DIASyM): Mass Spectrometry for High-Throughput Deep Phenotyping of Heart Failure Syndrome".

28 Feb 2020

New label-free microscopic techniques provide better visualization of extracellular vesicles

The Biophotonics Imaging Lab at the Beckman Institute for Advanced Science and Technology has developed imaging techniques that investigate tissues without using any staining or labels.

21 Feb 2020

Cellular and molecular view of intact transparent human organs

For the first time, researchers managed to make intact human organs transparent. Using microscopic imaging they could revealed underlying complex structures of the see-through organs at the cellular level.

13 Feb 2020

New deep learning model enables automatic sleep staging with high accuracy

A new deep learning model developed by researchers at the University of Eastern Finland can identify sleep stages as accurately as an experienced physician. This opens up new avenues for the diagnostics and treatment of sleep disorders, including obstructive sleep apnea.

3 Feb 2020

ERA4TB to transform the development of new therapies for tuberculosis

With a team of more than thirty public and private organisations and a budget over 200 million euro, ERA4TB aims to radically transform the way in which new therapies are developed for the treatment of tuberculosis.

30 Jan 2020

AI can help cancer patients start radiation therapy sooner

Artificial intelligence can help cancer patients start their radiation therapy sooner - and thereby decrease the odds of the cancer spreading - by instantly translating complex clinical data into an optimal plan of attack.

27 Jan 2020

Instagramers still love vaping despite FDA’s anti-vaping slogans

A unique study posted in the journal Frontiers in Communication in January 2020 reports that of 200,000 posts on Instagram, the number of hashtags favoring vaping or e-cigarette use outnumbers the number of those against it by an astonishing 10,000 times. Vaping refers to the use of flavored juices, often containing nicotine, in electrically operated heating devices that allow the user to inhale the fumes of the heated juice and exhale it, similar to smoking a conventional cigarette.

21 Jan 2020

New method can improve resolution of brain magnetic resonance imaging using artificial intelligence

Researchers of the ICAI Group -Computational Intelligence and Image Analysis- of the University of Malaga have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.

17 Jan 2020

Computer model of the brain provides insights into damage caused by stroke, other injuries

He calls it his "chocolate and peanut butter moment." A University at Buffalo neuroimaging researcher has developed a computer model of the human brain that more realistically simulates actual patterns of brain impairment than existing methods.

14 Jan 2020