A new AI tool developed by La Trobe University researchers can analyze routine pathology slides to predict stage-two bowel cancer patients at risk of relapse. The study analyzed over 1600 pathology slides and validated the findings across 1220 patients in three independent cohorts.
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.
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.
Research found that severe workplace violence incidents are concentrated in busy daytime periods, outdoor activities, and specific ward areas. The study suggests that everyday ward routines, situations, and environmental factors contribute to the risk of workplace violence.
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.
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.
A new study provides a state-by-state guide to adolescent consent laws in sexual assault cases, highlighting the need for providers to understand the nuances of each state's laws. The research emphasizes that adolescents generally cannot legally consent to their own medical care, and parental consent is the standard default.
Researchers at the University of Zurich have identified 10 biomarkers in saliva that can detect acute sleep deprivation. The study uses machine-learning methods to analyze metabolic changes in saliva, providing a new milestone for forensic research.
This special issue highlights advances in multidisciplinary approaches, emerging technologies, and best practices that support accurate identification of human remains. The publication features 22 scientific contributions from experts worldwide, addressing challenges such as the future evolution of forensic sciences.
The Aileen Wee Professorship in Liver Diseases aims to catalyse partnerships between experts and address cancer and healthcare challenges. Prof Aileen Wee, a renowned authority in hepatobiliary pathology, will lead the professorship.
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.
Benjamin L. Wolozin and his team will examine RNA binding proteins, RNA metabolism, and membraneless organelles in Parkinson's disease pathology and co-pathologies. They will also test a novel compound AQV-3 to break up toxic protein aggregates.
The new edition of the Wiley Registry of Mass Spectral Data 2026 expands compound coverage to over 915,500 reference spectra, strengthening a foundational layer of scientific data and research intelligence. This expansion enables researchers to identify unknown chemical compounds and materials faster with confidence.
A study published in Acta Neuropathologica found that APOE ε4 is associated with widespread TDP-43 pathological subtype in sporadic ALS. This discovery suggests a new perspective on why ALS pathology spreads differently among patients.
The FoSci Report 2026 examines individual paper-level fraud, coordinated criminal networks, systemic structural failures, and risks to government research. It charts the maturity and gaps in current research integrity practice, arguing that isolated infractions often signal more systemic issues.
A new AI system, SPARK, enables autonomous scientific discovery in cancer pathology by generating biological hypotheses and translating them into analytical tools. The system identifies clinically relevant tissue markers linked to disease course, treatment response, and tumour progression.
Researchers at Mass General Brigham developed an ultrasensitive test to detect abnormal clumps of TDP-43 protein in cerebrospinal fluid, a biomarker for specific form of dementia called FTLD-TDP. The test shows promise in diagnosing patients with the correct pathology and tracking disease progression.
The QSEK project aims to develop general standards for the legally sound use of language-mediated evidence, provide targeted training, and support technological innovation. This will enhance investigative efficiency, reduce misinterpretation risk, and strengthen the reliability of forensic evidence.
Researchers at Linköping University developed a digital twin model to predict alcohol consumption and drinking patterns. The tool uses data from exhaled breath, blood, and urine samples to generate individualised results, providing a more accurate picture of when a person last drank.
A new study combines dynamic full-field optical coherence tomography with deep learning to generate real-time virtual pathology images of fresh lymph nodes during surgery. The approach achieved high accuracy and sensitivity, reducing tissue consumption and manual workload.
The research team developed a novel AI pathology analysis system named PRET that can accurately recognize multiple types of cancer using only a minimal number of samples. PRET outperformed existing methods in 20 tasks, achieving high diagnostic accuracy rates and stable generalizability across different populations and regions.
Researchers developed a pathomics framework using a deep learning survival prediction model that analyzes pathology slide images and study patterns to predict patient outcomes. The model correctly stratified patients into high- and low-risk groups with significantly different outcomes.
New research uses transcripts from the Enron scandal to analyze linguistic moves made by energy traders to manipulate trust and encourage collusion. The study identified a 'playbook' of trust-related moves, including 'bond', 'build', 'confide', 'probe', and 'repair', which can inform practical interventions in combating fraud.
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.
The project brings together eight perspectives to develop tools for documentation, legal clarity and traceability, supporting lawful activity and enforcement.
Researchers at Murdoch University have developed a forensic tool that uses facial similarity analysis to identify potential connections between victims of sexually motivated crime. The tool, called Face Similarity Linkage (FSL), analyzes 21 key facial landmarks and can flag potential links between victims even with imperfect photos.
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.
The 2026 release expands coverage of emerging novel psychoactive substances, including synthetic cannabinoids, fentanyl analogs, and pharmaceutical drugs. The database provides comprehensive and up-to-date support for forensic, toxicology, and drug surveillance workflows.
A nationwide review of 373 reported drugging cases in Denmark found that alcohol was the most frequent substance detected in complainants' blood and urine samples. Blackout was also a common symptom, suggesting high levels of alcohol consumption.
Researchers at Linköping University have developed an AI model that can accurately determine the time of death from blood samples, providing crucial information in murder investigations and police work. The method uses metabolites to analyze changes in small molecules over time, outperforming current methods.
A new study introduced epigenetic clocks in skeletal muscle from an Asian population, identifying DNA methylation sites associated with age and developing accurate age prediction models using NGS and SBE. The findings offer a reliable method for estimating age and its potential applications in forensic science.
New research from UT Arlington highlights critical gaps in forensic nursing and the challenges rural nurses face in becoming certified Sexual Assault Nurse Examiners (SANE). With limited resources and low case volume in rural areas, tele-mentoring is proposed as a possible solution to support newly trained SANEs.
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 have developed a new method for human identification using proteomics, which could be used in scenarios where DNA evidence is unavailable or degraded. This technique relies on the detection of genetically variant peptides in single hair strands to create a unique profile for each person.
Researchers developed novel fluorescent diatomite-based carbon dot composites for dual-mode high-resolution imaging of latent fingerprints. The synthesized Dye-CDs exhibited high photostability and selectivity in daylight and fluorescence visualization.
Forensic researchers at Florida International University have developed a new technique to estimate the time of death by analyzing the genetic markers of maggots. This method, known as a molecular clock, can accurately determine the age of late-stage maggots and revolutionize death investigations worldwide.
A new study found that forensic anthropology lacks standardization in case reporting practices, with areas of division and disagreement among practitioners. The researchers believe a robust standardization is needed to ensure the objectivity and quality of reports.
Scientists at NRL and FIU create a new method for detecting trace levels of fentanyl without direct contact using a silicon nanowire array. This breakthrough offers first responders a faster, safer way to identify fentanyl and its related synthetic opioids.
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.
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.
Bryophytes, including mosses, liverworts, and hornworts, have been found to be a significant source of trace evidence in forensic science. The new study provides a comprehensive review of their role in forensic botany, highlighting their potential for linking suspects, victims, and locations.
The Trainer Identification Project is a pioneering initiative that explores new forensic techniques to identify criminals by their shoes. Using images of trainers under various light conditions, the team aims to develop fast and reliable tools for operational policing.
A team of researchers compiled cases where mosses and their relatives helped solve crimes, showcasing the importance of botanical evidence. The study found that mosses can be used to confirm details of crime locations, with examples dating back to 1929.
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.
Researchers successfully identified the skeletal remains of Duke Béla, a member of the Árpád and Rurik dynasties, using a combination of genetic and dental analyses. The study reveals that Béla was attacked by multiple individuals, consuming a diet rich in animal protein.
The Forensic Sciences Research journal has been included in the Stanford University database, recognizing its esteemed editorial board members for their significant impact on forensic science. The inclusion demonstrates the journal's commitment to advancing excellence in the field and supporting researchers worldwide.
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.
A new study found that sniffer dogs' performance in real-world scenarios is highly variable and dependent on factors like region, day, and explosive type. The research suggests that limited access to explosive training materials is a primary challenge for teams, highlighting the need for wider access to improve detection performance
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 studying age-related cognitive decline may discover a novel therapy using extracellular vesicles from young stem cells. The treatment aims to slow memory loss with aging and potentially protect against Alzheimer's disease.
Researchers developed a technique that uses infrared light and machine learning to determine the sex of blow fly larvae, improving time-of-death estimates. The method achieved over 90% accuracy and has potential applications in forensic entomology, agriculture, and biosecurity.
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.
Researchers found that cancer does not typically affect forensic age estimation accuracy, except for very aggressive forms of cancer. In contrast, blood cancers led to large errors, with ages overestimated by up to 50 years.
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.