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Organs age at different speeds: a blood test might soon tell which ones

Researchers developed AI-powered 'tissue clocks' that estimate biological age from histological images, revealing organs age at different rates throughout life. The study identifies strong links between tissue-specific aging and medical conditions or lifestyle-associated factors.

New framework renders AI trustworthy for cancer subtyping

Researchers have developed a versatile uncertainty-aware AI framework called TRUECAM that provides customizable accuracy guarantees for cancer subtype classifications. TRUECAM outperforms existing approaches to digital pathology AI uncertainty quantification, detecting out-of-scope inputs and improving fairness across sex and race.

SourceVanderbilt University Medical Center·JournalNature Biomedical Engineering·TypeData/statistical analysis·DateJun 23, 2026

Study identifies candidates for therapeutic targets in pediatric germ cell tumors

Researchers have identified distinct immune profiles for different subtypes of pediatric germ cell tumors, which could lead to more targeted therapies. The study found that certain tumor subtypes respond well to immunotherapy and others exhibit an immunosuppressive environment, making them more aggressive.

Deep-learning framework advances tissue analysis in spatial transcriptomics

Researchers developed a deep-learning framework, STAIG, to automatically map distinct genetic activity to tissue regions without manual alignment. The study demonstrates superior performance across various conditions, showcasing its potential for cancer research and understanding complex biological systems.

SourceThe Institute of Medical Science, The University of Tokyo·JournalNature Communications·TypeComputational simulation/modeling·DateFeb 27, 2025

RNAs may help identify stage II colon cancer patients who may benefit from chemotherapy following surgery

A new study has identified specific RNAs that may help identify stage II colon cancer patients who are likely to benefit from chemotherapy following surgery. The researchers found that certain housekeeping RNAs were up-regulated in patients with recurrence, suggesting their potential role in the metastatic process.

SourceElsevier·JournalAmerican Journal Of Pathology·TypeExperimental study·DateJul 8, 2024

Cyclin D1 expression in penile cancer

Researchers found cyclin D1 expression in patients with penile cancer (PC) is associated with clinical and histopathological features. Patients with cyclin D1 expression had lower disease-free survival compared to the cyclin D1-negative group.

SourceImpact Journals LLC·JournalOncotarget·TypeObservational study·DateMay 15, 2024

Hyperspectral dark-field microscopy for rapid and accurate identification of cancerous tissues

Researchers have developed a new imaging technique that rapidly and accurately identifies cancerous tissues in breast samples. The method uses machine learning algorithms trained on hyperspectral dark-field microscopy data to pinpoint regions of invasive ductal carcinoma and invasive mucinous carcinoma.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateMay 8, 2024

Cell interactions in abnormal structures in aged kidneys

Researchers investigated the role of tertiary lymphoid tissues in aging kidney disease, identifying proinflammatory interactions between renal cells and immune cells that promote inflammation and injury. The study suggests targeting proinflammatory cytokines for potential therapeutic strategies.

SourceKyoto University·JournalJournal of the American Society of Nephrology·TypeExperimental study·DateAug 30, 2023

Creating an artificial pathologist

A team of scientists at Max Planck Institute for the Science of Light developed a method to quickly and accurately diagnose cancer using artificial intelligence and real-time deformability cytometry. The method reduces analysis time from hours to under 30 minutes, enabling faster decision-making during surgery.

SourceMax Planck Institute for the Science of Light·JournalNature Biomedical Engineering·TypeExperimental study·DateApr 13, 2023

Creating an artificial pathologist

A team of scientists created a new, fast, and precise method for analyzing cells in tissue samples from cancer patients without the need for a trained pathologist. The method uses artificial intelligence to evaluate data produced by a technique called real-time deformability cytometry.

SourceMax-Planck-Gesellschaft·JournalNature Biomedical Engineering·TypeExperimental study·DateApr 8, 2023

Oncotarget | Novel prognostic index to predict survival outcomes in gastric cancer patients

Researchers have developed a novel prognostic index to predict survival outcomes in gastric cancer patients. The inflammation-combined prognostic index (ICPI) combines three biomarkers - lymphocyte-to-monocyte ratio, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio - to provide a personalized prognosis for each patient.

SourceImpact Journals LLC·JournalOncotarget·TypeExperimental study·DateFeb 14, 2023

Scientists define independent subtype of idiopathic multicentric Castleman disease

Idiopathic plasmacytic lymphadenopathy (IPL) has been confirmed as a distinct clinicopathologically uniform disease, which can be reclassified into an independent subtype of idiopathic multicentric Castleman disease (iMCD). IPL showed greater plasmacytosis and hyperplastic germinal centers compared to non-IPL groups.

SourceOkayama University·JournalInternational Journal of Molecular Sciences·TypeExperimental study·DateNov 4, 2022

Artificial intelligence model can predict whether Crohn disease will recur after surgery

An artificial intelligence model trained on histological images of surgical specimens accurately classified patients with and without Crohn disease recurrence. The model revealed previously unrecognized differences in adipose cells and mast cell infiltration, enabling stratification by prognosis for postoperative Crohn disease patients.

SourceElsevier·JournalAmerican Journal Of Pathology·TypeExperimental study·DateMay 10, 2022

Fossil dental exams reveal how tusks first evolved and why they are unique only to mammals

Researchers shed light on the evolution of mammalian tusks by tracing them back to ancient mammal relatives called dicynodonts. Dicynodonts had protruding tusks in their upper jaws, but they were not always true tusks – instead, some had enamel-coated teeth that did not fit the definition.

SourceHarvard University, Department of Organismic and Evolutionary Biology·JournalProceedings of the Royal Society B Biological Sciences·DateOct 26, 2021

Oncotarget: Cutaneous apocrine sweat gland carcinoma

Researchers analyzed DNA repair targeting in cutaneous apocrine sweat gland carcinoma (CAC) cells with a PALB2 aberration. They found sensitivities to BET-bromodomain inhibition and modest sensitivity to DNA-PKi, ATRi, WEE1i, and PARPi. The study also identified a potential therapeutic opportunity for targeting PALB2 deficient cells th...

SourceImpact Journals LLC·JournalOncotarget·DateJul 19, 2021

Label-free method for rapid cancer diagnosis

Researchers at Ruhr-Universität Bochum have developed a label-free method for rapid cancer diagnosis using infrared imaging, which can perform analysis in just a few minutes. The technique, combined with bioinformatical image analysis, shows promising results with 97% accuracy compared to traditional histopathological analyses.

SourceRuhr-University Bochum·JournalScientific Reports·DateMay 18, 2018

Cutting down on cancer surgeries

Engineers at Caltech have developed a new microscopy technique that can analyze tumor tissue in real-time, reducing the need for follow-up surgeries. The technology, called photoacoustic microscopy, has the potential to revolutionize breast cancer treatment and could be available to surgeons within several years.

SourceCalifornia Institute of Technology·JournalScience Advances·DateMay 17, 2017