Researchers developed core-shell microfibrous scaffolds that excel in rotator cuff repair, restoring natural morphology and mechanical properties. The acellular, in situ tissue engineering technology harnesses stem cell regenerative abilities to provide robust biological regeneration without cell seeding.
Researchers propose that amyloid deposits modulate calcific aortic valve disease and accelerate degenerative calcification. The study suggests blocking amyloid formation may be a novel therapeutic target for CAVD and other diseases involving degenerative calcification.
A comprehensive review article examines plant responses to electromagnetic field exposure, predicting thermal effects and outlining protective measures. The study emphasizes the need for further research to refine predictive models and establish robust protection strategies.
Researchers used D-FFOCT and deep learning to create an intraoperative diagnostic workflow for breast cancer patients. The approach achieved high accuracy and speed, reducing processing time by a factor of 10 compared to conventional histology.
A new study by Mass General Brigham researchers found that larger 'foundation models' can help mitigate disparities between different demographic groups and enhance model accuracy. The findings emphasize the need for more diverse training datasets and demographic-stratified evaluations of AI systems.
Researchers at the University of Nottingham have created a world-first device that can image individual cells' stiffness, potentially catching cancer earlier. The technology uses Brillouin scattering to detect stiffness down to billionths of a meter and could replace traditional biopsies with non-invasive, single-cell imaging.
Research has led to biomarker-directed treatment options for patients with advanced NSCLC featuring specific driver mutations. Targeted therapies have improved patient survival but also raised the need to understand resistance mechanisms.
A new open-top light-sheet microscope with swept illumination enhances the technique for nondestructive 3D pathology. The improved design quadruples the field of view and doubles optical sectioning ability, making it suitable for analyzing complex tissue structures.
Researchers at Mass General Brigham have developed two AI foundation models, UNI and CONCH, to advance computational pathology. These models excel in diagnostic accuracy, prognostic insights, and predicting therapeutic responses, with universal applications in anatomic pathology.
Researchers developed a machine-learning model to assess prostate cancer biopsy samples, overcoming limitations of traditional methods. The new model, nnU-Net, provides accurate 3D segmentation of glandular tissue structures, leading to better prognostic analyses and potential improvements in patient outcomes.
A UK study published in Anaesthesia found that black children are at a significantly higher risk of postoperative complications following emergency appendicitis surgery, with a four-fold greater risk compared to white children. The study also identified other risk factors for complications, including pre-existing medical conditions and...
The Komodo Dragon's teeth develop and replace rapidly, with up to five replacement teeth per position in its jaws. This allows it to quickly respond to prey capture or injury, making it an ideal model for studying theropod dinosaur life history and feeding strategies.
A team of researchers found that diffuse anaplasia (DA) subtype of Wilms tumor grows despite high DNA damage and TP53 mutation, leading to resistance to chemotherapy. The study suggests that DA histology emerges through accumulating DNA damage and CNAs, creating selection pressure for TP53 mutations.
A study reveals thyroid cancer's genetic changes contribute to resistance to BRAF inhibitors and can lead to tumor dedifferentiation. Researchers identify potential targets for new therapies, including dual-targeted treatments and immunotherapy combinations.
A new oviraptorosaur species was found in the end-Maastrichtian Hell Creek Formation of North America. The dinosaur weighed approximately the same as an average woman, providing valuable insights into its biology and ecosystem.
Researchers from Miami Cancer Institute published a study analyzing the use of tissue-agnostic therapeutics in patients with primary brain tumors. The publication discusses data from clinical trials and additional tissue-agnostic targets that hold promise for benefiting patients with PBTs.
Researchers at UCLA Health have received a $3 million grant to identify novel biomarkers and develop AI for detecting aggressive prostate cancer. The project aims to improve treatment accuracy and reduce unnecessary interventions.
The E2E-BPF microscope overcomes traditional microscopes' limitations by extending depth-of-field using a learning-based binary phase filter and image deconvolution. This enables high-resolution imaging over larger spatial scales, reducing the need for refocusing.
Researchers developed a sensitive method for single-cell transcriptome analysis from tissue sections, enabling precise examination of cells with histological characteristics. The study unveiled gene expression differences in granulosa cells and revealed growth retardation in oocyte gene expression profiles.
Researchers found that ethanol metabolism can produce toxic substances damaging the gut, leading to leaky gut, dysbiosis and increased cancer risk. The study aims to better understand the mechanisms of alcohol-associated bowel disease and its relationship with liver disease.
A new study led by Wayne State University aims to discover gene-heavy metal interactions in human livers that contribute to nonalcoholic fatty liver disease (NAFLD). The research, funded by the National Institute of Environmental Health Sciences, will investigate how naturally accumulated metals interact with the liver genome.
Researchers developed a new tool called Orion that integrates histologic and molecular information to improve cancer diagnosis and treatment. The tool uses a digital imaging platform to analyze tumor samples, identifying biomarkers that predict patient outcomes.
Rice University engineers developed ultraflexible nanoelectrodes that can deliver high-resolution stimulation therapy with minimal scarring and degradation. The devices showed precise spatiotemporal stimulus control, enabling the development of new brain stimulation therapies for patients with impaired sensory or motor functions.
A new genomic catalogue of malignant peripheral nerve tumour-derived lines has challenged current diagnostic criteria, revealing misdiagnosed cell lines and a shared cell line masquerading as different types. The catalogue provides new information to develop precision therapies for these tumours.
Researchers developed a new tool to diagnose and assess sarcopenia using musculoskeletal ultrasound scans, which provides a muscle quality scoring system. The technique is validated with anatomical and histological samples and has potential applications in other muscle diseases and sports rehabilitation.
A team at Harvard Medical School has created large-scale 2D and 3D spatial maps of colorectal cancer, layering molecular information on top of histological features. The maps reveal the interconnectedness of traditional isolated structures in colorectal cancer, allowing researchers to explore differences within individual tumors.
A study by Mayo Clinic researchers found a specific colonization of microbes in the reproductive tract is commonly found in women with ovarian cancer. The discovery strengthens evidence that the bacterial component of the microbiome is an important indicator for early detection, diagnosis, and prognosis of ovarian cancer.
Researchers developed an advanced MRI tool that reveals structural insights into atherothrombosis by detecting regions at risk of rupture or atherothrombosis. The tool provides new information on fatty material formation in arteries, improving diagnosis and treatment outcomes for individuals with atherosclerotic disease.
Researchers used microCT to create a 3D atlas of lung lesions in TB and COVID-19, revealing complex shapes and hidden pathological structures. The study provides new insights into the microscopic anatomy of these deadly diseases.
A new deep learning-based framework reduces autofocusing and image acquisition times for virtual staining of unlabeled tissue sections. The approach achieves high-quality staining with minimal loss of image sharpness and contrast.
A new AI algorithm, SISH, uses self-supervised learning to find similar cases in large pathology image repositories, assisting with the diagnosis of rare diseases. The algorithm outperforms other methods in retrieving interpretable disease subtype information from vast databases, even at large scales.
Researchers at Tohoku University have developed a novel cancer therapy combining lymphatic drug delivery with total-body irradiation, showing superior antitumor effects in early stage lymph node metastasis. The treatment enhances systemic tumor immune responses and alters the tumor microenvironment.
A new study reveals that four living amphibian clades, including the dominant Plethodontidae family of lungless salamanders, develop lungs as embryos but lose them as adults. This finding sheds light on the evolution of lung loss over millions of years and suggests that losing lungs may have enabled their remarkable evolutionary success.
The DOLPHIN Study reports a high progression-free survival rate of 72.1% and an overall response rate of 90.9% for patients with unresectable locally advanced NSCLC treated with durvalumab plus concurrent radiotherapy.
The NELSON Trial demonstrated a 24% reduction in lung cancer mortality with low-dose CT screening, compared to the 20% found in the NLST. The new protocol used in NELSON showed improved sensitivity for early-stage cancers, increasing the benefits of lung cancer screening while reducing unnecessary follow-up procedures.
Researchers found that second primary lung cancer occurs in approximately 4% of lung cancer patients, with a higher rate of up to 8% among those undergoing surgery for early-stage disease. The study also revealed variations in incidence rates by treatment type and stage.
A study using data from the Surveillance, Epidemiology, and End Results database found that married individuals had better survival prospects than divorced or widowed people. The researchers developed a nomogram to predict 3-5 year survivals, with marital status being one of several independent prognostic factors.
New research provides insights into genetic characteristics of Wilms tumor relapse, identifying two previously unrecognised mutations that may aid in early detection and tailored therapies. The study, published in Cell Reports Medicine, offers promise for improving patient outcomes.
Researchers created detailed 3D maps of the metathalamus using BigBrain dataset, gaining insight into its cellular structure and subcortical nuclei. The maps have clinical relevance for diagnosing neurological disorders and aiding neurosurgery, as the metathalamus is involved in many conditions.
A new technology called MediSCAPE has been developed by Columbia Engineers that can capture real-time cellular detail in living tissues. This allows doctors to make informed decisions about tumor removal without needing to remove tissue and wait for pathology results.
Researchers at TTUHSC will investigate common mechanisms of resistance and sensitivity in alternate telomere lengthening (ALT) cancers, with a focus on targeting ATM kinase inhibitors for therapy. The team aims to develop clinical trials for patients with ALT+ cancers.
A new virtual histology technology may reduce the need for invasive skin biopsies, providing a biopsy-free solution for rapid diagnosis of malignant skin tumors. The technology uses deep-learning frameworks to transform images of intact skin into detailed, virtually stained images.
A new deep learning-powered approach transforms RCM images into virtually-stained H&E images, enabling the analysis of microscopic skin features without invasive biopsies. This technique, called virtual histology, can diagnose various skin conditions, including basal cell carcinoma and melanocytic nevi.
Using next-generation sequencing, researchers identified four major regulatory pathways and specific molecular effectors behind COVID-19 symptoms. The study may pave the way for a more personalized approach to diagnosis and treatment.
Researchers aim to provide digital histopathology images and quantitative information without invasive biopsies, addressing a common challenge in wound healing. The project combines metabolic imaging, deep learning techniques, and collaboration with experts in the field.
Researchers develop label-free virtual microscopy images that allow detailed visualization of tissue without staining procedures. The new technique provides realistic images that could help reduce the need for repeat surgeries by enabling histopathology analysis during surgery.
Researchers have trained a neural network to detect anomalies in medical images, adapting it to the nature of medical imaging and achieving better results. The new method uses weakly supervised training and can spot small-scale anomalies, accelerating the work of histopathologists and radiologists.
A new deep learning algorithm can accurately predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images. The algorithm, which doesn't require manual annotations, has been shown to be significantly more accurate than current methods.
Researchers found that protein lactylation occurs in brain neurons and is positively correlated with lactate levels. The study showed that neural excitation and social stress enhance lysine lactylation of histone H1 proteins, leading to increased anxiety-like behaviors.
Researchers at TU Dresden developed a new imaging-based method to investigate the visual sensory thalamus, a key structure in brain function and disease. The technique uses high spatial resolution MRI data to detect distinct compartments within the thalamus, which are characterized by varying amounts of white matter.
The study reveals that G6PD is associated with elevated expression of genes involved in glutathione-mediated redox metabolism, leading to chemoresistance. Patient-derived spheroids derived from clinical specimens showed diverse heterogeneity in chemoresistance against platinum-based compounds.
Detailed analyses of cremated bone fragments from Tomb of Nestor's Cup uncovered at least three humans with varying life stages, alongside animal remains like goats and dogs. The study sheds new light on funeral practices and ancient Greek culture.
A new study provides evidence supporting the involvement of aquaporins in corneal cell proliferation and nerve regeneration, suggesting AQP5 induction as a potential therapy to accelerate corneal defect resurfacing. The study found that AQP5 deficiency can slow down corneal epithelial repair, but its specific mechanism remained unclear.
A collaborative research between Owkin and Cleveland Clinic has developed an AI model that predicts liver cancer recurrence following liver transplantation. The model outperformed traditional scoring systems and showed promise for improving patient outcomes.
Research presented at the IASLC 2021 World Conference on Lung Cancer found that neoadjuvant cisplatin and pemetrexed plus atezolizumab followed by surgical resection and maintenance atezolizumab met safety criteria for patients with resectable pleural mesothelioma. Sixty percent of eligible patients proceeded to maintenance therapy.
A new biomarker, HBcrAg, has been found to accurately predict viral load in patients with chronic hepatitis B and reflect response to anti-viral treatments. This discovery may lead to improved monitoring methods for CHB, enabling clinical decisions and potentially improving patient outcomes.
Researchers created a 3D view of diseased lung tissue using microCT to reveal that TB granulomas are complex and branched, with unique connections to airways. This has significant implications for treatment, including the potential for aerosolized drug delivery to reduce treatment times.
A new study reveals that AI tools analyzing tumor images can make inaccurate predictions due to shortcuts introduced by institutions submitting the images. The models often rely on location-specific signatures rather than biological characteristics, leading to biased outcomes for patients from certain medical centers.
Researchers have developed a new scoring system to evaluate wound healing in mice, using parameters such as re-epithelization and granulation tissue thickness. The system was validated in four different skin wound models, providing a more accurate and reproducible assessment of wound dynamics.
A hadrosaur, known as Bonapartesaurus rionegrensis, was found to have a tumor on its foot and two fractures in its tail. Despite these severe injuries, the dinosaur managed to survive for some time before its death, possibly due to infections or further trauma.