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Deep learning for early osteoporosis risk prediction

Osteoporosis is so difficult to detect in early stage it's called the "silent disease." What if artificial intelligence could help predict a patient's chances of having the bone-loss disease before ever stepping into a doctor's office?

28 Jun 2024

AI identifies new high-risk subtype in endometrial cancer

An AI tool to classify histopathological images and differentiate between endometrial cancer subtypes.

28 Jun 2024

AI breakthrough: Speech analysis predicts Alzheimer's progression with 78.5% accuracy

A method for predicting Alzheimer’s disease (AD) progression.

27 Jun 2024

UBC researchers use AI to improve endometrial cancer diagnosis and treatment

A discovery by researchers at the University of British Columbia promises to improve care for patients with endometrial cancer, the most common gynecologic malignancy.

27 Jun 2024

AI transforming cardiovascular care with groundbreaking diagnostic and prognostic innovations

AI tools are revolutionizing cardiovascular healthcare by enhancing diagnostics, prognostics, and biomarker detection, thus improving the precision and efficacy of care. The review also addresses the potential risks and challenges in integrating AI into clinical workflows.

25 Jun 2024

Transforming drug discovery with AI

A new AI-powered program will allow researchers to level up their drug discovery efforts.

21 Jun 2024

SuperAnimal: A deep learning model for automated animal behavior analysis

Behavioral analysis can provide a lot of information about the health status or motivations of a living being.

21 Jun 2024

Using deep learning to design synthetic soluble versions of cell membrane proteins

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins: when molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that alter cellular behavior.

21 Jun 2024

Doctors may soon be able to use AI for cancer detection

A new paper in Biology Methods & Protocols, published by Oxford University Press, indicates that it may soon be possible for doctors to use artificial intelligence (AI) to detect and diagnose cancer in patients, allowing for earlier treatment.

20 Jun 2024

Deep learning revives ancient peptides to battle antibiotic resistance

Researchers used deep learning to resurrect antibiotic peptides from extinct organisms, offering new solutions for combating antibiotic resistance.

12 Jun 2024

AI revolutionizes malaria diagnosis with 97.57% accuracy using EfficientNet

AI tool that uses deep learning to examine red blood cell images in blood smears for the timely detection of malaria.

12 Jun 2024

Revolutionary AI tool detects multiple cancers in whole-body PET/CT scans

A novel AI approach can accurately detect six different types of cancer on whole-body PET/CT scans, according to research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging Annual Meeting.

11 Jun 2024

AI-driven mammography cuts workload by 33%, boosts breast cancer detection

Implementing AI in mammography screening significantly reduces radiologists' workload and improves breast cancer detection rates, according to a study in Denmark and the Netherlands.

6 Jun 2024

Facial temperature can predict heart disease with higher accuracy than current methods

Researchers found that facial infrared thermography can predict coronary artery disease more accurately than traditional pretest probability tools, using deep-learning algorithms to analyze temperature patterns.

6 Jun 2024

Study reveals new insight into how human telomeres function at the molecular level

The length of telomeres that protect the ends of our chromosomes should be tightly regulated. Those that are too long predispose to cancer, and those that are too short lose their protective ability, resulting in telomere disorders with serious health consequences.

4 Jun 2024

AI improves breast cancer screening performance and reduces false-positives

Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings. Results of the study were published today in Radiology, a journal of the Radiological Society of North America (RSNA).

4 Jun 2024

SCIEX launches new data independent acquisition, ZT Scan DIA, at ASMS 2024

At ASMS 2024, SCIEX, a global leader in life science analytical technologies, introduces ZT Scan DIA for LC-MS/MS, the next generation in data-independent acquisition (DIA) that leverages the combination of the quadrupole dimension with the rich MS2 data attainable from the Zeno trap.

From SCIEX 4 Jun 2024

New AI model Dev-ResNet accurately monitors embryonic development in real-time

Research led by the University of Plymouth has shown that a new deep learning AI model can identify what happens and when during embryonic development, from video.

28 May 2024

AI-based body composition analysis predicts lung cancer treatment outcomes

Tafadzwa Chaunzwa, MD, a researcher in the Artificial Intelligence in Medicine (AIM) Program at Mass General Brigham and a senior resident physician at the Harvard Radiation Oncology Program, is the lead author of a paper published in JAMA Oncology.

24 May 2024

Fake news unmasked: Emotional features boost fake news detection accuracy on social media

Researchers found that integrating emotional features, particularly negative emotions, into machine learning models enhances the accuracy of fake news detection on social media platforms. This study highlights the crucial role of emotions in distinguishing between real and fake news during the COVID-19 pandemic.

20 May 2024