Deep Learning News and Research

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Machine-learning method can crunch data to find new uses for existing drugs

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

4 Jan 2021

Self-learning algorithms can help analyze biological image data

Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience.

28 Dec 2020

Novel computational tool can systematically analyze cell images in C. elegans

A joint research team co-led by City University of Hong Kong (CityU) has developed a novel computational tool that can reconstruct and visualise three-dimensional (3D) shapes and temporal changes of cells, speeding up the analysing process from hundreds of hours by hand to a few hours by the computer.

23 Dec 2020

New microscope could allow surgeons to inspect tumor margins within minutes

When surgeons remove cancer, one of the first questions is, "Did they get it all?" Researchers from Rice University and the University of Texas MD Anderson Cancer Center have created a new microscope that can quickly and inexpensively image large tissue sections, potentially during surgery, to find the answer.

18 Dec 2020

Transfer learning exploits chest-Xray to diagnose COVID-19 pneumonia

A new study from Athens, Greece, describes the use of a deep learning algorithm that uses chest X-rays to diagnose COVID-19 pneumonia.

18 Dec 2020

New model of brain activity could inform the design of improved artificial intelligence systems

Getting computers to "think" like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what's been learned.

17 Dec 2020

Deep Longevity releases first AI-powered psychological aging clocks

Today, Deep Longevity, a company developing artificial intelligence to track human aging and extend productive longevity, released the first AI-powered psychological aging clocks to analyze and interpret psychosocial factors in the context of aging.

16 Dec 2020

AI-enabled real-time social-media monitoring of public sentiments on COVID-19 vaccination

The onslaught of the COVID-19 pandemic, the hunt for a drug, and the successful development of a vaccine has impacted people beyond measure worldwide.

14 Dec 2020

New AI tool could make breast cancer treatment less expensive and more readily available

Imagine being a doctor and having a precocious resident permanently by your side, giving you brilliant insight into disease and helping you to identify the best treatment path for your patients.

11 Dec 2020

$2.5 million funding helps researchers to advance tools for predicting readmission in diabetic patients

Each year in the United States, more than 1 million patients with diabetes make return trips to the hospital for diabetes-related illness, often being readmitted within 30 days of their initial hospitalization.

10 Dec 2020

New computer algorithm could end misidentification of cancer cells in laboratories

Researchers from the University of Kent have developed a computer algorithm that can identify differences in cancer cell lines based on microscopic images, a unique development towards ending misidentification of cells in laboratories.

10 Dec 2020

Study describes novel aging clock trained to predict human age

Deep Longevity, a Hong-Kong based longevity startup, has published their research on the epigenetics of aging in the Aging and Disease journal.

9 Dec 2020

Automated AI measurement of abdominal fat predicts major cardiovascular events

Automated deep learning analysis of abdominal CT images produces a more precise measurement of body composition and predicts major cardiovascular events, such as heart attack and stroke, better than overall weight or body mass index (BMI), according to a study presented today at the annual meeting of the Radiological Society of North America.

2 Dec 2020

Scientists develop new technique to measure tissue oxygen levels

Tissue oxygenation is a measure of the oxygen level in biological tissue and is a useful clinical biomarker for tissue viability. Abnormal levels may indicate the presence of conditions such as sepsis, diabetes, viral infection, or pulmonary disease, and effective monitoring is important for surgical guidance as well as medical care.

2 Dec 2020

SARS-CoV-2's microRNAs may have promoted its jump to humans

A new study uses machine learning to explore the small microRNAs (or miRNAs) of SARS-CoV-2 that may determine the virus's ability to successfully infect humans by altering the course of transcriptional events.

1 Dec 2020

Deep learning model identifies imaging biomarkers to predict breast cancer risk in women

Researchers at Massachusetts General Hospital (MGH) have developed a deep learning model that identifies imaging biomarkers on screening mammograms to predict a patient's risk for developing breast cancer with greater accuracy than traditional risk assessment tools.

30 Nov 2020

Deep learning helps determine a woman’s risk of breast cancer

A new deep learning model could more accurately predict a woman’s risk of developing breast cancer than current risk assessment tools.

27 Nov 2020

Researchers use deep-learning techniques to better allocate emergency services

Emergencies, by their very nature, are hard to predict. When and where the next crime, fire or vehicle accident will happen is often a matter of random chance.

20 Nov 2020

Computational method could predict immunotherapy response in patients with advanced melanoma

A computational method that combines clinicodemographic variables with deep learning of pre-treatment histology images could predict response to immune checkpoint blockade among patients with advanced melanoma.

18 Nov 2020

Using artificial intelligence imaging analysis methods for COVID-19 clinical diagnosis

Announcing a new article publication for BIO Integration journal. In this review article the authors Yun Chen, Gongfa Jiang, Yue Li, Yutao Tang, Yanfang Xu, Siqi Ding, Yanqi Xin and Yao Lu from Xiangtan University, Xiangtan, China and Sun Yat-sen University, Guangzhou, China consider the application of artificial intelligence imaging analysis methods for COVID-19 clinical diagnosis.

11 Nov 2020