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Qureight's synthetic study arms validate clinical efficacy in pioneering rare lung disease treatment

Qureight, a deep-learning analytics company accelerating drug development through AI-powered data curation, today announced that its digitally-twinned synthetic control arm has been used in a breakthrough clinical trial application in place of a human placebo group, marking a world-first in lung disease research.

17 Jun 2025

Machine learning boosts accuracy of point-of-care disease detection

What if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies.

17 Jun 2025

AI-powered study maps global inequalities in rheumatoid arthritis burden

The most comprehensive analysis of rheumatoid arthritis data to date reveals that demographic changes and uneven health infrastructure have exacerbated the rheumatoid arthritis burden since 1980 and shows global disparities on a granular level.

16 Jun 2025

AI transforms sightseeing for visually impaired users

The VIPTour AI system empowers visually impaired individuals to explore unfamiliar environments, enhancing emotional engagement and cognitive mapping accuracy.

8 Jun 2025

AI model diagnoses lung cancer using just a laptop

Imagine diagnosing cancer not with a supercomputer but on an ordinary laptop instead. Sounds like science fiction? Thanks to a revolutionary artificial intelligence (AI) model developed by Professor Kenji Suzuki and his research team from Institute of Science Tokyo (Science Tokyo), this far-fetched scenario is now a reality.

5 Jun 2025

Novel deep learning model leverages real-time data to assist in diagnosing nystagmus

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images to help clinicians assess disease severity, guide treatment decisions and monitor disease progression.

4 Jun 2025

Clairity BREAST receives FDA authorization for AI-based breast cancer risk prediction

Clairity, Inc., a digital health innovator advancing AI-driven healthcare solutions, has received U.S. Food and Drug Administration (FDA) De Novo authorization for CLAIRITY BREAST, a novel, image-based prognostic platform designed to predict five-year breast cancer risk from a routine screening mammogram.

3 Jun 2025

New VR system transforms hand rehabilitation with load free design

In a significant advancement for hand rehabilitation, researchers from Zhengzhou University have introduced a non-hand-worn, load-free VR hand rehabilitation system that could boost therapy development for patients recovering from conditions like stroke and osteoarthritis.

29 May 2025

AI model predicts future lung cancer risk from a single low-dose chest CT scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference.

19 May 2025

AI tool enhances detection of tiny breast cancer signs in mammograms

Each year, millions of women undergo mammography to screen for breast cancer, yet tiny calcium specks—known as microcalcifications—often evade detection or are misread, leading to delayed diagnoses or unnecessary biopsies.

13 May 2025

New AI tool predicts viral mutations to help future-proof COVID vaccines

A novel AI-driven method helps scientists stay ahead of viral evolution by engineering synthetic spike proteins that anticipate future SARS-CoV-2 escape mutations, offering a powerful tool to test and strengthen next-generation vaccines.

11 May 2025

AI tool uses facial images to predict biological age and cancer survival

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called FaceAge that uses a photo of a person's face to predict biological age and survival outcomes for patients with cancer.

8 May 2025

AI identifies brain cell types through electrical signatures

A decades-old challenge in neuroscience has been solved by harnessing artificial intelligence (AI) to identify the electrical signatures of different types of brain cells for the first time, as part of a study in mice led by researchers from UCL.

7 May 2025

Innovative technology instantly spots street drugs

A portable device that can instantly detect dangerous street drugs at extremely low concentrations has been developed at the University of Bath in the UK.

7 May 2025

Scientists use AI to build mutation-proof antibodies for SARS-CoV-2

Researchers used AI models to design antibodies that neutralize over 1,300 SARS-CoV-2 strains, including Delta and Omicron. The models demonstrated faster, cheaper, and more adaptable therapeutic development compared to traditional methods.

5 May 2025

AI tools improve detection of key immune structures in melanoma

Researchers from the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) have applied AI-driven processes for detecting tertiary lymphoid structures (TLS) in thousands of digital images of melanoma tumor tissue, significantly enhancing TLS identification and survival predictions for operable stage III/IV patients.

24 Apr 2025

AI predicts pediatric glioma recurrence using multiple brain scans

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.

24 Apr 2025

Mount Sinai researchers enhance AI tool to better detect heart disease risk

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify patients with the condition and flag them as high risk for greater attention during doctor's appointments.

22 Apr 2025

Researchers use algorithm to pinpoint disease risk mutations in noncoding DNA

Researchers from Children's Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

17 Apr 2025

AI-powered lung ultrasound outperforms human experts in diagnosing tuberculosis

A pioneering study presented today at ESCMID Global 2025 has demonstrated that an AI-powered lung ultrasound outperforms human experts by 9% in diagnosing pulmonary tuberculosis (TB).

14 Apr 2025