Articles tagged with Pathology
University of Houston researcher Mingfu Wu has received a $3.1 million NIH grant to investigate left ventricular noncompaction, a serious heart condition that can lead to heart failure and abnormal heart rhythms. The study aims to uncover a common mechanism behind different genetic causes of LVNC and potentially identify new targets fo...
Researchers developed an AI approach to predict glioblastoma recurrence, allowing for targeted treatments before the cancer becomes visible on MRI. The tool uses microscopic images of fresh, unprocessed tissue and scored based on tumor infiltration, with an accuracy of predicting recurrence within 5-10 millimeters of the sampled tissue.
A new, incisionless liver cancer treatment called histotripsy was associated with low rates of laboratory toxicity and procedural complications in a real-world review of 972 patients. However, the study found that 11% of patients died within 30 days, suggesting that advanced cancer and overall disease burden may be contributing factors.
A new AI tool has been developed to predict treatment and survival outcomes in patients with advanced non-small cell lung cancer treated with immunotherapy. The tool consistently outperformed standard clinical biomarkers, achieving high accuracy scores in predicting survival outcomes.
Complimentary press passes are now available for the Association for Molecular Pathology 2026 Annual Meeting & Expo in Seattle, featuring over 200 exhibiting companies, 60 educational sessions, and 500 poster presentations. Reporters can register to attend in person or access press materials online.
Researchers at Nagoya University have identified giant-nucleus cells as precancerous markers in the kidneys, which emerge in response to iron toxicity and BRCA1 mutations. These cells exhibit cancer-related gene activity and can signal early cancer development in surrounding tissue, with distinct biological profiles in BRCA1-mutant rats.
A new method uses hybrid bright-dark field imaging to enhance digital pathology resolution, improving diagnostic sensitivity and AI-assisted analysis. It achieves 2.1x spatial resolution enhancement with minimal hardware upgrades and improved efficiency.
Researchers developed a computational model to study aging in 40 types of human tissue, identifying three major aging patterns and underlying molecular changes. Tissues show bimodal structural aging, with accelerated aging from 35-40 and 55-60, coinciding with fertility decline and menopause.
Prostate cancer affects 1 in 8 men, with 60% diagnosed in men 65 and older. Clinical trials like Alliance's help improve early detection and treatment, reducing mortality rates by half since 1993. These trials also explore new treatments and survivorship strategies.
Researchers developed a method to quantify individual cell damage using molecular markers, enabling detailed analysis of disease progression in tissue samples. This method can distinguish early disease mechanisms and differentiate between patient-specific and general disease progression.
The PolyU research team has developed TRUECAM, an integrated AI framework that ensures data and model trustworthiness in cancer diagnosis. The framework can assess the level of an AI's confidence in its diagnostic outputs and proactively prompts pathologists to review cases when uncertainty is high.
The Alliance for Clinical Trials in Oncology emphasizes the significance of clinical trials in advancing breast cancer treatments and early detection. The organization's work has led to a 44% decline in breast cancer mortality rates among women since 1989.
The PolyU developed AI Virtual Patient Simulation System combines multimodal data from genomic, medical imaging and clinical records to create a digital twin model tracking real-time changes in a patient's condition. It predicts the effectiveness of different cancer treatment options and supports personalized medical solutions.
A new theory proposes that critical illness arises from loss of physiological coordination, not just organ failure. The Entropic Critical Illness Theory views living organisms as open systems with a continuous need to regulate entropy.
Researchers developed a novel imaging approach called SANDI to study microstructural brain abnormalities associated with Huntington's disease. The model revealed differences in cell density and size, correlating with disease progression and motor performance.
Researchers at Johns Hopkins Medicine have discovered that inhibiting sensory neurons with a nerve blocker can reduce abnormal bone growth in cartilage after childhood bone injuries, potentially improving recovery. The study found that the treatment reduced unwanted bone growth by up to 60% in mice.
Researchers used connected speech analysis to distinguish between nonfluent, logopenic and semantic PPA variants with high accuracy. The study also showed expected atrophy associations and discriminated common neuropathologic classes in an autopsy-confirmed subset.
The article highlights the need for AI tools to provide interpretable and reportable results, with a focus on improving turnaround time, diagnostic consistency, and clinical decision-making. While AI is unlikely to replace pathologists, it can help convert tissue morphology into actionable evidence for better patient care
The Alliance QUANTUM trial is testing whether post-transplant consolidation therapy with teclistamab improves survival in patients with primary plasma cell leukemia. Plasma cell leukemia is a rare but aggressive blood cancer with poor long-term survival rates.
Combining cemiplimab, fianlimab, and paclitaxel-based neoadjuvant chemotherapy improved pathologic complete response rates in high-risk -negative breast cancer. Patients with the ImPrint immune signature showed enhanced sensitivity to the combination.
Dr. Elaine S. Jaffe receives AMP's highest honor for pioneering contributions to lymphoma diagnosis and treatment. Dr. Laura J. Tafe is recognized for her leadership and service to the organization, while Dr. Daniel E. Sabath receives the Meritorious Service Award for his dedication to scientific excellence and organizational service.
Elaine S. Jaffe, a distinguished investigator at the NCI Center for Cancer Research, has transformed our understanding of lymphoid malignancies through her groundbreaking research. Her work has led to significant advancements in disease classifications, diagnosis, and treatment.
Daniel E. Sabath, a professor at UW Department of Laboratory Medicine and Pathology, has won the Association for Molecular Pathology's 2026 Meritorious Service Award for his dedication and effort over three decades. He is being honored for his leadership roles, scientific expertise, and collaborative spirit in advancing education and s...
The Association for Molecular Pathology recognizes Dartmouth Health medical director Laura J. Tafe for her exceptional leadership and dedication to the field of molecular diagnostics. She has been a member of the organization since 2007 and has held various positions, including president in 2023.
Researchers propose using the glucose ketone index (GKI) to track metabolic health in non-communicable diseases, which cause three in four deaths worldwide. The GKI measures blood glucose and ketones and may indicate metabolic state, assess long-term nutritional adherence, and support mitochondrial function improvement.
The Association for Molecular Pathology has elected new leaders for several committees, including Genetics, Hematopathology, Infectious Diseases, Informatics, and Solid Tumors. The newly elected leaders will work together to drive the organization's mission forward.
A genomic study found two previously unreported truncating germline variants in BRCA2, suggesting inherited alterations may contribute to susceptibility to multiple primary lung cancers. The study also points toward important clinical applications, including the use of PARP inhibitors and molecularly targeted approaches for treatment.
A retrospective study found that PITX2, PHOX2B, and HAND2 do not offer diagnostic utility in fine-needle aspiration biopsies of primary and secondary medullary thyroid carcinomas. The markers were expressed in some samples but did not improve diagnosis accuracy.
A lifecycle framework helps laboratories overcome barriers to digital pathology adoption by integrating infrastructure, workflow redesign, validation, interoperability, and AI readiness. The framework addresses institutional governance, cybersecurity, education, and performance monitoring to ensure durable success.
Acute leukemias with EWSR1 or FUS gene rearrangements display heterogeneous clinical and pathological characteristics. Cytogenetic karyotyping and fluorescence in situ hybridization remain crucial tools for detecting chromosomal translocations, while advanced molecular diagnostic methods are recommended to improve accurate diagnosis.
The review discusses key AI concepts, including algorithms, models, architectures, machine learning, deep learning, and multimodal models. It highlights their clinical applications, such as detection of lymph node metastases, Nottingham grading, biomarker quantification, risk stratification, and prognostic prediction.
Researchers at Texas A&M University develop a laser technique called TRIP to directly measure quantum forces shaping proteins, enabling accurate prediction of how pharmaceutical drugs interact with them. This breakthrough could lead to the design of medicines tailored to specific diseases, revolutionizing precision medicine.
A cohort study found that a dietary pattern with lower inflammatory potential was associated with lower dementia risk among individuals with Alzheimer disease pathology. Targeted dietary strategies may help prevent dementia in those already at elevated risk.
Combined hepatocellular-cholangiocarcinoma is a rare and aggressive form of primary liver cancer that poses significant diagnostic and therapeutic challenges. The absence of standardized treatment guidelines limits effective management, emphasizing the need for thorough pathological evaluation and multidisciplinary management.
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.
A large-scale study developed a predictive model for Lymph Node Metastasis (LNM) status in T1b gastric cancer using digital pathology and deep learning. The DL-T1 nomogram achieved an AUC of 0.910, indicating high accuracy in predicting LNM risk.
Researchers discovered blood RNA biomarkers that could support earlier diagnosis of Alzheimer's disease, potentially reducing the need for invasive tests. They identified brain-specific markers in circulating blood nanoparticles, which may offer a minimally invasive approach for diagnosing the progressive neurodegenerative disease.
A fast-rising SDSE bacterium causes severe infections, including muscle damage and patient death. Houston Methodist researchers identified genes essential for bacterial survival in SDSE, revealing fundamental differences with its close relative Strep A.
Airborne levels of formaldehyde regularly exceed EU limits in 70% of NHS pathology departments, with poor monitoring and control contributing to the risk. The researchers call for national regulatory intervention to protect NHS employees' health, citing increased risks of respiratory and reproductive problems, as well as cancers.
Researchers identify key mechanisms and molecular targets to prevent tumor progression in patients with rhabdomyosarcoma, a rare soft tissue cancer affecting young children. Two new treatment possibilities have been highlighted, targeting the IRE1α-XBP1 signaling axis and protein TAK1.
A new study found that certain snake species, like pygmy rattlesnakes, are at risk for serious illness and death due to multiple pathogens. Snakes can carry pathogens without showing symptoms, but co-infections increase disease prevalence.
A new study by the University of Ottawa suggests that a tiny molecule, methylglyoxal, plays a major role in triggering neurological disorders after a heart attack. The molecule accumulates in the brain following a heart attack and is linked to depression, anxiety, and cognitive decline.
A new study reveals that ALS unfolds through a domino-like sequence of events starting with an early breakdown in motor neurons, followed by a damaging inflammatory response. The findings suggest that targeting these immune signatures could slow down disease progression.
Researchers at the University of Texas MD Anderson Cancer Center have identified a new marker, FOXA1, which shows high sensitivity in diagnosing small cell carcinoma of the prostate. This breakthrough offers hope for improving patient care and prognostic decisions.
Professor Eiichi Araki's pioneering research on insulin signaling has led to a deeper understanding of the molecular mechanisms of diabetes. His discoveries remain foundational for researchers striving to overcome insulin resistance and improve treatment options.
Researchers develop tailored revascularization approach for moyamoya disease, improving circulation while minimizing complications. The technique, called STAPC, uses vessel diameter, blood-flow dynamics, and recipient brain arteries to guide surgical decisions.
Researchers at Aalto University developed a new ultrasonic needle that can collect 2-3 times more tissue than current biopsy methods, improving cancer diagnosis accuracy. The minimally invasive approach shows strong potential for broader diagnostic use, particularly in rare salivary gland tumors.
The review highlights how retrieval-augmented generation can improve the accuracy, transparency, and clinical reliability of AI tools in cancer care. RAG-enhanced systems produced more accurate results than standard AI models across multiple studies.
Researchers from UH, Baylor College of Medicine and MD Anderson Cancer Center propose a new treatment approach for Crohn's disease by targeting the stress signal that fuels inflammation. They found that repurposing two existing cancer medications can promote natural repair and regeneration of the intestinal lining.
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.
A £43M EU-funded initiative, COMPASS, aims to detect heart-related risks in cancer patients and survivors using innovative medical and digital technologies. The project will develop AI-powered clinical pathways to enhance cardiotoxicity detection, safer treatment, and better long-term cardiovascular outcomes.
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.
A new clinical trial will investigate whether adding the oral medication vorasidenib to standard chemotherapy improves progression-free survival for people with newly-diagnosed, grade 3 IDH-mutant astrocytoma. The study aims to recruit 400 individuals with this type of brain cancer and evaluate the safety and side-effect profile of the...
Researchers developed a computational tool that infers telomere length from structural changes in cells and tissues captured in medical biopsies. The TLPath model accurately predicts telomere length, providing new opportunities for studying human aging.
A recent study found that women have a 21% lower risk of death compared to men, but a 12% higher risk of severe side effects from cancer treatment. The research, conducted in partnership with international collaborators, analyzed data from over 20,000 cancer patients and identified sex-based differences in survival and treatment toxicity.
A new case report describes a large, calcified solid pseudopapillary neoplasm of the pancreatic head, emphasizing the importance of multidisciplinary evaluation and long-term follow-up for monitoring recurrence. The case underscores the diagnostic value of integrating imaging, histopathology, and immunohistochemistry.
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 study investigates the clinicopathologic features and genomic landscape of DNA polymerase epsilon mutant colorectal adenocarcinomas. The analysis reveals two distinct subgroups with different outcomes, suggesting improved prognostication for some patients.
This study analyzed 740 endometrial polyps and found a low but notable risk of malignancy, particularly in postmenopausal patients. The results suggest that routine sampling of the background endometrium during polypectomy is essential for early detection of serous carcinoma.