Several open-source AI models consistently produced summaries that were more comprehensive than physician-written versions, particularly in capturing molecular and genetic findings. The study found that Llama 3.1 and DeepSeek performed best among the six evaluated models.
Alexander Kerr, NYU Clinical Professor, recognized for outstanding research on oral cavity squamous cell carcinoma and oral potentially malignant disorders. The IADR Distinguished Scientist Award is one of the highest honors bestowed by IADR, recognizing contributions to understanding oral health and disease mechanisms.
The BiliSeq test detected approximately 82% of bile duct cancers, compared to 44% with pathology alone, and increased cancer detection to nearly 90% when combined with pathology. This improved accuracy enables physicians to provide more personalized medicine and treatment options for patients.
Researchers developed an AI model that analyzes routine pathology slides to predict breast cancer recurrence and chemotherapy benefit. The model was validated in a large clinical trial and demonstrates fast, accessible, and globally scalable diagnostic capabilities.
Researchers found that breast cancer cells trigger the lung's natural repair system, leading to chronic inflammation and promoting tumor growth. A repurposed drug, roflumilast, may slow this process by preventing the lung environment from aiding tumor growth.
UL Research Institutes' Chemical Insights will present findings on chemical exposures and health risks, highlighting new methods for faster, more transparent science. The institute aims to protect people and communities through open science, education, and collaboration.
LazySlide enables systematic whole-slide image analysis using AI models and links visual patterns to text concepts. The study demonstrates its potential in analyzing tissue samples, identifying biological pathways, and reducing the barrier for applying advanced image analysis methods.
Researchers from the University of Amsterdam developed a novel computational framework, Measurable Feature Prediction, to quantify the gaps in nontargeted chemical analysis. The study shows that environmental screening methods leave massive blind spots in the data, with only 0.01% of the chemical space being measurable.
Researchers at Boston University School of Medicine have discovered protein and sugar level changes that occur with aging and Alzheimer's disease brains. The study uses a unique mass spectrometry technique to capture detailed molecular information, providing new avenues for biomarker discovery and potential treatments.
New research warns that popular AI systems for predicting cancer biology may rely on visual shortcuts, raising concerns about their reliability for real-world patient care. Despite achieving high accuracy, these models often fail when conditions change or confounding factors are controlled.
This systematic review found that both chemical and non-chemical denture cleansers effectively reduce Candida species, with chemical agents demonstrating more consistent antifungal action. Non-chemical agents preserve material integrity and are preferred by patients for their taste and ease of use.
A University of Barcelona study using animal models found that early and sustained cognitive stimulation preserves brain connectivity and memory in Alzheimer's disease. Males respond better to cognitive intervention than females, which can delay the onset of the disease.
Researchers at Jeonbuk National University have developed a new dual-chemical looping process that improves the efficiency of ammonia synthesis by 8.4% and reduces global warming potential by up to 15.85 kg CO2-equivalent per kilogram of ammonia produced.
Katie Paul Friedman, Ph.D., Director of the Center for Informatics and Screening at Chemical Insights, received the prestigious 2026 Achievement Award from the Society of Toxicology for her innovative research and dedication to training the next generation. The award recognizes her contributions to new approach methodologies transformi...
Researchers found that diverse plant communities emit more complex chemical signals, which can affect individual plants and the entire ecosystem. The study highlights the importance of biodiversity in maintaining natural signaling systems and supports sustainable agriculture practices to promote plant diversity.
Researchers highlight advancements in fluidized bed design, oxygen carrier materials, and performance of chemical looping systems. They emphasize the importance of controlling fluidization regime and developing physical standards for oxygen carriers.
A Johns Hopkins-led team has created the first map of nerve circuitry in bone, revealing how sensory neurons communicate with bone-building cells to promote healing. The study identifies key protein signals necessary for bone formation and repair.
A new study led by Harvard Medical School researchers found that AI models analyzing pathology samples can infer demographic information, leading to biased diagnoses. The team developed a framework called FAIR-Path to reduce bias in these models, which showed improved performance across demographics.
Researchers summarize advances in multi-target therapies addressing Alzheimer's disease pathology, including Amyloid-beta, tau, neurodegeneration, and cerebrovascular injury. Despite promising preclinical evidence, single-target strategies have shown limited efficacy in clinical trials.
A new study using advanced computer simulations has shed light on the mysterious chemical history of the Milky Way. Researchers found that galaxies like the Milky Way can develop two distinct chemical sequences through various mechanisms, challenging previous assumptions about the role of cosmic gas flows and galaxy mergers.
A specific protein, RASH3D19, activates the RAS signaling pathway involved in aggressive tumor growth and resistance to KRAS inhibitors. Blocking RASH3D19 improves outcomes in preclinical models, suggesting a potential therapeutic strategy.
Researchers are presenting groundbreaking findings at the Association for Molecular Pathology's annual meeting, including a novel technique to study ancient DNA and rapid detection of serious fungal pathogens. The Association for Molecular Pathology is providing press materials and resources for media coverage.
Scientists have developed a targeted genetic test to improve diagnosis for X-linked dystonia-parkinsonism, a rare and disabling movement disorder that affects primarily men of Filipino ancestry. The test correctly identified cases that routine sequencing methods have missed, leading to proper diagnoses and end diagnostic odysseys.
Artificial intelligence is being used to improve diagnostic accuracy in molecular pathology, with studies showing 93% accuracy for cancer diagnosis. Researchers are also using AI to analyze chromosomal changes in blood cancer patients and provide personalized treatment plans.
Recent research in pathological foundation models has demonstrated robust representation learning capabilities and generalization performance. These models enable multi-task transfer with minimal data, significantly enhancing clinical utility and generalizability.
A study found that further testing in renal cell carcinoma with an overexpression of gene TRIM63 could uncover a mutation otherwise undetected, leading to more treatment options. In cases where tumors were positive for TRIM63 on a biomarker level but FISH negative, 70% ended up having MiTF gene rearrangement.
The Association for Molecular Pathology recognized Dr. Laposata's contributions to clinical laboratory practice and his role in challenging the FDA's rule on laboratory-developed test regulation. The award preserves diagnostic innovation, ensures patient access, and avoids escalating healthcare costs.
Researchers developed an AI tool that detects intestinal parasites in stool samples with greater sensitivity than human observers, even those with years of experience. The system uses a deep-learning model to identify parasites in wet mounts of stool, improving the likelihood of detecting pathogenic parasites.
Researchers have discovered a novel compound that degrades key proteins found in prostate cancer cells, blocking oncogenic androgen receptor signaling. The study found that levels of H2BNTac, p300 and CBP are elevated in prostate cancer compared to normal tissue.
Engineers at the University of Pittsburgh have created a soft material with a nerve net that mimics how simple living systems coordinate motion. The material responds to chemical reactions, producing mechanical movement without electronics or motors.
A new multi-omics tool, GoT-Multi, has enabled researchers to gain insights into how cancers evolve towards greater aggressiveness and therapy resistance. The tool can analyze diverse types of pathology samples and quickly process large numbers of cells, revealing new details about cancer progression.
The Association for Molecular Pathology has created a standardized biomarker report template to simplify complex molecular profiling data presentation to oncologists and healthcare providers. The template includes guidelines for clear formatting, therapeutic guidance, and references to clinical practice guidelines.
Paul N. Staats, MD, has been appointed Chair of the University of Maryland School of Medicine's Department of Pathology, overseeing clinical services to multiple hospitals and laboratories. He will drive partnerships and expand outpatient laboratory services.
Researchers at CARS create detailed maps of chemical reactivity, discovering regions of unexpected outcomes and reconstructing intricate reaction networks. This new understanding enables control over the formation of different major products from a set of starting materials.
A research team developed a pipeline using pre-trained large language models to unify radiology and pathology reports, achieving high accuracy in tumor presence and stability. The system also predicted survival outcomes without additional training, distinguishing high-risk from low-risk groups.
This review summarizes progress in dynamic biomacromolecular modifications, regulatory mechanisms, and chemical interventions. It highlights newly emerging chemical tools and technologies for precise labeling, detection, and functional regulation of dynamic modifications.
A study found that living in areas with high air pollution concentrations accelerates cognitive decline and worsens Alzheimer's disease by increasing the buildup of toxic proteins in the brain. Exposure to fine particulate matter, such as PM2.5, was associated with increased risk of severe amyloid and tau pathology.
Researchers at Wayne State University are developing novel therapies to treat ocular chemical injuries using host-derived metabolites. The project aims to reduce inflammation, promote corneal nerve regeneration, and enhance wound healing, with potential for clinically translatable treatments that can preserve vision.
A new reporting checklist introduces key methodological details to improve reproducibility and transparency in AI-based automated image analysis. The guidelines will support clear communication of methods and reduce cognitive bias, promoting the translation of AI tools into routine pathology workflows.
The book explores lesser-known plant diseases that influenced human events, drawing from scientific insight and compelling narrative. Written for specialists and curious readers, it offers a new lens on plant pathology and environmental history.
This review systematically maps miRNA-mediated dysregulation of the AGE/RAGE pathway in MetS, revealing widespread but understudied miRNA dysregulation across adipose tissue, liver, and immune cells. Prioritizing poorly studied receptors and multi-pathology miRNAs could accelerate targeted therapies for MetS.
Mayo Clinic has deployed NVIDIA Blackwell infrastructure to accelerate pathomics, drug discovery, and precision medicine using generative AI. The new infrastructure enables faster pathology slide analysis and foundation model development, reducing work time from four weeks to one week.
Elaine R. Mardis, Alexis B. Carter, and Dara L. Aisner receive AMP's top honors for groundbreaking work in cancer genomics and molecular diagnostics. Drs. Mardis and Carter will deliver keynote lectures at the AMP Annual Meeting & Expo.
A 70-billion-parameter large language model called ChemELLM has been developed for chemical engineering applications. It was trained on a specialized dataset and demonstrated superior performance in various tasks compared to mainstream models.
Researchers developed an AI model that accurately predicts genetic mutations from routine pathology slides, reducing the need for rapid genetic testing by over 40% in lung adenocarcinoma patients. This innovation streamlines clinical decision-making and accelerates access to targeted therapies.
Forensic pathologists play a crucial role in monitoring public health threats, advancing disease research, and providing support to families who have lost loved ones. They operate independently of law enforcement and courts, performing final diagnostic evaluations and providing objective facts for the justice system.
A new study found that amylin administration exacerbates tauopathy by impairing lysosomal mechanisms in a hybrid diabetes model. The research highlights the intricate relationship between diabetes and Alzheimer's disease, suggesting that amylin plays a key role in the pancreas-brain axis.
The Association for Molecular Pathology publishes guidelines for detecting homologous recombination deficiency (HRD) in cancer. The report includes recommendations for clinical laboratories, addressing technical aspects of genomic instability and HRD analysis.
The Association for Molecular Pathology (AMP) has announced the election results for 2026-2027 leadership positions, including President-Elect Yassmine M.N. Akkari and Secretary-Treasurer Jonathan A. Nowak. The newly elected leaders will drive AMP's mission to advance molecular diagnostics.
A proof-of-concept study shows that chimeric antigen receptors (CARs) can distinguish between tau tangles and various forms of toxic amyloid plaques, two key contributors to Alzheimer's disease pathology. The technology has the potential to deliver therapeutic drugs directly to affected areas of the brain with reduced side effects.
A new study reveals that protein sequences associated with microbial communities in the human gut have uniquely low stoichiometric water content and undergo counterintuitive chemical shifts during inflammation. Microbial communities inhabit distinct chemical environments throughout the human body, influencing microbial evolution.
Researchers have successfully synthesized high-performance materials using high pressure, including superhard and superconducting materials. The article highlights the potential of high-pressure chemistry for discovering new materials and phases, despite challenges remaining in terms of experimental costs and equipment operation.
While digital and artificial intelligence-based pathology (DAIP) offers improved diagnostic accuracy and equity, its implementation is hindered by financial constraints, technical challenges, and legal/ethical concerns. A balanced assessment of the benefits and pitfalls must be conducted before adopting DAIP.
Dennis Jones, a BU researcher, has received the Cotran Early Career Investigator Award for his work on cancer research and vascular biology. He aims to improve T cell entry into tumors by developing approaches to enhance blood vessel function.
A review in Cancer Biology & Medicine explores the potential of AI to decode complex biological data for personalized cancer care. By integrating genomics, medical imaging, and pathology, AI excels at processing vast quantities of genomic and multi-omic data.
Researchers have developed an AI-driven model that can accurately diagnose various subtypes of pediatric sarcoma using only routine pathology images. The model correctly distinguished between nine sarcoma subtypes, demonstrating its potential to provide quick and accurate cancer diagnoses in under-resourced settings.
A new low-energy chemical recycling method using boron and gallium can convert common silicone waste into useful chlorosilanes with high efficiency and yield. This approach offers a promising new chemical pathway toward circularity in silicone materials, addressing both resource sustainability and emissions reductions.
A new microscopy technique, SIMIP, combines structured illumination with mid-infrared photothermal detection to achieve high-speed chemical imaging with superior resolution. The method outperforms conventional methods in terms of spatial resolution and chemical contrast.
A new framework helps clinicians choose phrases that more accurately reflect the likelihood of certain pathologies in X-rays, improving the reliability of critical clinical information. The approach treats certainty phrases as probability distributions, capturing nuances of what each word means.
The Association for Molecular Pathology (AMP) has won a court ruling that vacates the FDA's rule on laboratory-developed test procedure regulation. This decision will avoid adding billions of dollars in healthcare costs and protect access to high-quality care for hundreds of millions of Americans.