AI and Raman Spectroscopy for Skin Cancer Diagnosis

Andrew Terentis, Ph.D., senior author, professor and chair of Florida Atlantic's Department of Chemistry and Biochemistry.
Photo Credit: Courtesy of Florida Atlantic University

Scientific Frontline: Extended "At a Glance" Summary: Raman Spectroscopy and Artificial Intelligence in Skin Cancer Detection

The Core Concept: A non-invasive diagnostic approach that combines Raman spectroscopy, a technique that captures the molecular fingerprint of tissue, with machine-learning algorithms to detect and classify skin cancer.

Key Distinction/Mechanism: Unlike a conventional biopsy that requires the surgical removal and microscopic examination of tissue, this method utilizes a handheld probe to analyze how light scatters when interacting with cellular molecules. Machine-learning models process the resulting spectral data to identify distinct molecular patterns, successfully distinguishing cancerous lesions, which exhibit stronger protein-related signals, from normal skin, which displays stronger lipid-related signals.

Major Frameworks/Components:

• A mobile Raman spectroscopy system equipped with a 785-nanometer diode laser and a handheld probe.
• Machine-learning classifiers, including K-nearest neighbors, support vector machines, and shallow neural networks, capable of achieving up to 84% test accuracy in classifying tissue.
• Molecular analysis of ex vivo clinical samples, focusing specifically on basal cell carcinoma, squamous cell carcinoma, and normal skin.

SD-208 Controls Extracellular Vesicle Release

Image Credit: Scientific Frontline / stock image

Scientific Frontline: Extended "At a Glance" Summary: SD-208 and Extracellular Vesicles

The Core Concept: SD-208, an experimental anti-fibrotic compound, significantly reduces the cellular release of extracellular vesicles by redirecting them for internal degradation.

Key Distinction/Mechanism: Rather than halting the production of extracellular vesicles, SD-208 alters their intracellular destination, directing vesicle-containing compartments away from the cell surface and toward lysosomes, the cell's recycling and disposal system.

Major Frameworks/Components:

• Extracellular vesicles: Microscopic packages utilized by cells to transport proteins and biological signals to neighboring and distant cells.
• Lysosomal redirection: The specific mechanism by which SD-208 reroutes cellular packages into the cell's internal disposal centers for breakdown.
• Mechanism independence: The compound's influence on vesicle release operates distinctly from its known anti-fibrotic activity, a conclusion supported by the failure of similar compounds acting on the same primary target to replicate the effect.

Blood Thinners May Reduce Liver Cirrhosis Complications

Axel Wester.
Photo: Göran Ekeberg

Scientific Frontline: Extended "At a Glance" Summary: Blood-Thinning Medications and Liver Cirrhosis Complications

The Core Concept: A nationwide registry study indicates that patients with liver cirrhosis and atrial fibrillation who take blood-thinning medications have a lower risk of developing severe liver-related complications, such as decompensated cirrhosis.

Key Distinction/Mechanism: Unlike previous concerns that blood thinners might exacerbate bleeding in cirrhosis patients, this observational study found that treatment was associated with a reduced risk of complications (specifically ascites, or fluid accumulation in the abdomen) without increasing the risk of major bleeding events.

Major Frameworks/Components:

• Study Design: An observational registry study comparing 383 treated patients against 777 untreated patients.
• Clinical Outcomes: The primary reduction in risk was observed for decompensated cirrhosis (10.4 percent of treated patients versus 16.6 percent of untreated patients).
• Safety Profile: Major bleeding occurred in 19.0 percent of treated patients compared to 19.8 percent of untreated patients, showing no increased risk of fatal, intracranial, or gastrointestinal bleeding.
• Requirement for Validation: As an observational study, it cannot establish definitive causality; randomized clinical trials are required to confirm these findings.

Urine Test Detects Womb Cancer Without Painful Procedures

Photo Credit: Manchester University

Scientific Frontline: Extended "At a Glance" Summary: The DETECT Diagnostic Test

The Core Concept: A non-invasive diagnostic test that analyzes cells from urine and vaginal fluid to identify endometrial (womb) cancer in women experiencing postmenopausal bleeding.

Key Distinction/Mechanism: Unlike current standard practices, which rely on uncomfortable, invasive, and costly hospital investigations to rule out cancer, this test utilizes cytopathology to examine easily collected bodily fluids, correctly identifying over 80 percent of cancers.

Major Frameworks/Components:

• Cytology: Microscopic examination of cells from urine and vaginal fluid samples by specialist cytopathologists.
• High Sensitivity for Aggressive Cancers: Demonstrated a 95.8 percent identification rate for high-grade tumors and a 96.4 percent rate for cancers that had spread beyond the uterus.
• High Negative Predictive Value: Achieved a 98.8 percent negative predictive value, meaning a negative test result strongly indicates the absence of womb cancer.
• Health Equity: The test showed a 100 percent detection rate with 96 percent specificity in Black women, a demographic historically impacted by poorly calibrated current tests and a doubled mortality rate from womb cancer in the UK.

Pregnancy Infections Linked to Autism & Intellectual Disability

Photo Credit: Hollie Santos

Scientific Frontline: Extended "At a Glance" Summary: Congenital TORCH Infections and Neurodevelopment

The Core Concept: Rare fetal infections caused by TORCH pathogens that cross the placenta are linked to a significantly elevated risk of autism and intellectual disability in children.

Key Distinction/Mechanism: Unlike common infections, TORCH pathogens can directly infect a developing fetus by crossing the placenta, leading to potential long-term effects on brain development.

Major Frameworks/Components:

• TORCH Infections: An acronym for a group of infections including Toxoplasma, Other (like syphilis), Rubella, Cytomegalovirus (CMV), and Herpes simplex virus (HSV).
• Elevated Risk: Children with a congenital TORCH infection were approximately three times more likely to be diagnosed with autism and more than seven times more likely to be diagnosed with an intellectual disability.
• Sibling Comparison: The study compared affected children with their unaffected siblings, indicating the associations are likely not due to shared family factors.
• Specific Outcomes: No clear link was found between TORCH infections and other neuropsychiatric conditions like ADHD or obsessive-compulsive disorder, though an impact on academic performance (lower grades) was observed even in those without autism or an intellectual disability.

Bioresorbable Batteries for Ingestible Devices

Caption: The researchers designed two different versions of the battery that could be used for different applications — a disc 7.5 millimeters in diameter, and a rectangular bar 24 millimeters long.
Image Credit: Courtesy of the researchers
(CC BY-NC-ND 3.0)

Scientific Frontline: Extended "At a Glance" Summary: Bioresorbable Batteries

The Core Concept: Bioresorbable batteries are miniature, ingestible power sources constructed from biocompatible materials designed to operate electronic devices within the human body before safely dissolving. They generate necessary electrical currents within the gastrointestinal tract and are fully absorbed or excreted without causing heavy metal toxicity.

Key Distinction/Mechanism: Traditional ingestible electronics rely on lithium or silver oxide coin batteries, which pose severe internal risks if their protective casings fail. In contrast, bioresorbable batteries generate 1.84 volts using digestible metals and an ionic liquid gel electrolyte, functioning normally in gastric acid for three days before gradually degrading over several weeks.

Major Frameworks/Components:

• Anode and Cathode Setup: The battery utilizes magnesium for the anode and molybdenum trioxide for the cathode, both of which are safe for human consumption in trace amounts.
• Electrolyte Integration: The system employs an ionic liquid gel electrolyte to facilitate the flow of electrical charge.
• Structural Form Factors: The batteries were developed in two primary configurations: a 7.5-millimeter diameter disc and a 24-millimeter rectangular bar.
• Biological Interfacing: The technology demonstrates the capacity to stimulate gastric endocrine cells, increasing the production of ghrelin by approximately 50 percent during a 20-minute stimulation cycle.
• Telemetry Integration: The power source interfaces with bioresorbable RFID tags composed of molybdenum and cellulose, enabling continuous communication ranges up to 1.5 meters.

Hepatology: In-Depth Description

Hepatology is a specialized medical science dedicated to the comprehensive study, diagnosis, and management of diseases affecting the liver, gallbladder, biliary tree, and pancreas. Its primary goal is to understand the complex metabolic, synthetic, and immunological functions of the hepatic system, and to intervene therapeutically when these vital processes are compromised by viral infections, autoimmune conditions, genetic disorders, toxins, or metabolic dysfunction.

Molecular Map of Hypertrophic Cardiomyopathy

The gene PRR16 was more active — indicated by yellow dots — in cardiac tissue samples from people with hypertrophic cardiomyopathy (right) than those without the disease (left). A representative heart cell in each image is outlined in orange.
Image Credit: Eric Q. Wei and Martin Beyer/HMS

Scientific Frontline: Extended "At a Glance" Summary: Molecular Map of Hypertrophic Cardiomyopathy

The Core Concept: Researchers have mapped the molecular activity underlying hypertrophic cardiomyopathy (HCM), a disease causing thickening and stiffening of the heart muscle.

Key Distinction/Mechanism: By using single-nucleus RNA sequencing on nearly one million heart cells, the study distinguishes between genetic and nongenetic HCM, and early and late stages. It reveals that genetic HCM causes distinct molecular changes, such as proportional reductions in heart muscle cells and increased expression of genes related to arrhythmias and fibrosis, compared to nongenetic HCM.

Origin/History: The foundational research into the genetic and molecular basis of HCM began in 1990, led by the Seidman Lab, which ultimately paved the way for the first precision treatment (mavacamten) approved by the FDA in 2022.

Major Frameworks/Components:

• Single-nucleus RNA sequencing of heart tissue.
• Identification of the PRR16 gene as a contributor to cardiomyocyte enlargement.
• Characterization of fibroblast activity, specifically the reduced expression of collagen IV in early-stage HCM, which may destabilize the extracellular matrix.
• Use of an AI model trained on gene expression data to accurately categorize disease stages and subtypes.

Spleen Regulates Activated Blood Platelets

Blood platelets (thrombocytes) interact with matrix components (perlecan) in the spleen.
Image Credit: © LMU Klinikum

Scientific Frontline: Extended "At a Glance" Summary: Splenic Regulation of Platelet Activation

The Core Concept: The spleen functions as a biological filter and quality-control checkpoint that monitors and removes overactivated blood platelets (thrombocytes) from systemic circulation.

Key Distinction/Mechanism: While circulating through the spleen, platelets receive activating signals from splenic tissue and counteracting inhibitory signals from their own G6b surface receptors. In normal, resting platelets, the inhibitory signals dominate, allowing them to return to the bloodstream; however, if platelets are heavily overactivated, the inhibitory signals are insufficient, causing the platelets to adhere within the spleen and undergo clearance by specialized phagocytes.

Major Frameworks/Components:

• Blood platelets (thrombocytes) and their role in wound closure and thrombotic events.
• The G6b receptor located on the surface of platelets, which is responsible for transmitting inhibitory signals.
• Splenic tissue matrix components, which generate platelet-activating signals.
• Splenic phagocytes, which are responsible for the physical removal of adherent, overactivated platelets.

Why mRNA Vaccine Side Effects Vary: Immune System Baselines

The reactions experienced by some people after vaccination are, in most cases, mild and temporary.
Photo Credit: Tubagus Andri Maulana

Scientific Frontline: Extended "At a Glance" Summary: Immune Baseline and mRNA Vaccine Side Effects

The Core Concept: The frequency and severity of transient side effects following mRNA vaccination are significantly influenced by an individual's pre-existing innate immune reactivity, specifically their baseline response to interferons.

Key Distinction/Mechanism: Rather than the vaccine alone dictating the reaction, individuals with a naturally more active interferon-related antiviral defense system prior to vaccination experience more pronounced symptoms. Additionally, acquired immunity from a first dose can amplify the innate response (particularly involving monocytes) upon a second dose, increasing inflammation at the injection site.

Major Frameworks/Components:

• Innate immune system reactivity baseline.
• Interferon-related antiviral defense pathways.
• Monocyte activation amplified by acquired immunity (antibodies and T cells) following initial exposure.

Predicting Necrotizing Enterocolitis via Gut Microbiomes

Photo Credit: Alexander Grey

Scientific Frontline: Extended "At a Glance" Summary: Microbiome Predictors for Necrotizing Enterocolitis

The Core Concept: Predictive biomarkers for necrotizing enterocolitis, a sudden and fatal intestinal illness in premature infants, have been identified within the viral and bacterial genetic material of the infant gut microbiome.

Key Distinction/Mechanism: Unlike previous approaches that focused solely on profiling harmful bacteria, this predictive model analyzes viral "dark matter" (bacteriophages that integrate their DNA into bacterial hosts) and the accumulation of bacterial antibiotic resistance genes to forecast disease onset up to eight days before clinical symptoms appear.

Origin/History: Necrotizing enterocolitis was first described 65 years ago with virtually no predictive capabilities until Washington University researchers published these AI-driven findings on September 16, 2026, in the journal Gut, demonstrating up to 83% predictive accuracy.

Major Frameworks/Components:

• Early-onset necrotizing enterocolitis (occurring in the first month of life) is primarily signaled by phage-bacterial interactions within the gut microbiome.
• Late-onset necrotizing enterocolitis (occurring six weeks or later) is driven by the accumulation of antibiotic resistance genes, typically linked to prolonged antibiotic exposure in the neonatal intensive care unit.
• Artificial intelligence prediction models utilize computational algorithms to analyze phage genomic sequences and antibiotic resistance genes embedded inside gut bacterial DNA.

Young Onset Dementia: Family Impact & Delayed Diagnoses

Photo Credit: Pavel Danilyuk

Scientific Frontline: Extended "At a Glance" Summary: Young Onset Dementia

The Core Concept: Dementia symptoms appearing in individuals under the age of 65.

Key Distinction/Mechanism: Unlike typical dementia, which is associated with advanced age, young onset dementia occurs when patients are often still working, raising children, and managing financial responsibilities like mortgages.

Origin/History: A new study by Curtin University, published in Health Expectations ahead of Dementia Action Week (September 21–27), highlights the ongoing challenges of diagnosing and managing the condition.

Major Frameworks/Components:

• Affects nearly four million people under 65 globally.
• Early signs—such as subtle changes in behavior, memory, or decision-making—are frequently first noticed by spouses or partners.
• Diagnoses are often significantly delayed because symptoms are dismissed by health professionals who do not expect dementia in younger populations.
• Care partners often become advocates, coordinators, and problem-solvers while experiencing significant strain on their employment, finances, and well-being.

EndoFusion: AI Speeds Up Endometriosis Diagnosis

Photo Credit: Courtesy of Adelaide University

Scientific Frontline: Extended "At a Glance" Summary: EndoFusion

The Core Concept: EndoFusion is an artificial intelligence diagnostic tool that rapidly and noninvasively detects signs of advanced endometriosis from a single pelvic scan.

Key Distinction/Mechanism: Unlike the current standard of visual identification through invasive, costly, and slow keyhole surgery, EndoFusion utilizes machine learning to integrate and analyze data from both magnetic resonance imaging (MRI) and transvaginal ultrasound scans. This circumvents the limitations of relying on single imaging methods and the variabilities of operator experience.

Major Frameworks/Components:

• Diagnostic Datasets: The system was trained using information gathered from four datasets, comprising more than 9,000 female pelvic MRI scans and over 800 transvaginal ultrasound sliding scans.
• Algorithmic Efficacy: The framework achieves an 83% accuracy rate in distinguishing between positive and negative cases of endometriosis, outperforming all competing models, and produces results in just 18 milliseconds.
• Interdisciplinary Collaboration: The ongoing development includes partnerships with Flinders University, Benson Radiology, Omni Ultrasound and Gynecological Care, the University of Surrey, the McMaster University Medical Center, and the Mohamed bin Zayed University of Artificial Intelligence.

On-Premise Medical AI System for Diagnostics

Photo Credit: Moritz Erken

Scientific Frontline: Extended "At a Glance" Summary: On-Premise Medical AI Agents

The Core Concept: A locally operated diagnostic AI system designed to support clinical decision-making while ensuring data privacy and result transparency.

Key Distinction/Mechanism: Unlike cloud-based Large Language Models (LLMs), this system runs entirely on a local infrastructure, keeping sensitive patient data within the institution's control. It utilizes two interacting AI agents (simulating a doctor and a patient) and relies on diagnostic consistency across multiple evaluations to gauge reliability, referring uncertain cases to human medical professionals.

Major Frameworks/Components:

• Selective Autonomy: The AI supports decisions but transfers uncertain cases to human experts.
• Agent Interaction: A simulated environment where an "AI doctor" questions an "AI patient," requests lab values, and formulates a diagnosis with reasoning.
• Consistency Tracking: Evaluating reliability by checking if the AI reaches the same diagnosis upon repeated assessment of the same case.
• On-Premise Infrastructure: Complete local data processing to manage data protection, model versions, and access rights.

Post-COVID Fatigue Linked to Reduced Brain Blood Flow

Image Credit: Sonia Miri Hedberg / AI Generated

Scientific Frontline: Extended "At a Glance" Summary: Brain Blood Flow and Post-COVID-19 Fatigue

The Core Concept: People suffering from post-COVID-19 condition (PCC), or long COVID, demonstrate lower cerebral blood flow and slower reaction times, which may contribute to the cognitive fatigue frequently experienced by these individuals.

Key Distinction/Mechanism: Compared to healthy controls, individuals with PCC showed reduced blood flow in brain regions responsible for attention, sensory processing, and cognitive control. This reduced perfusion correlates with slower and more varied reaction times during sustained attention tasks, a pattern indicative of mental fatigue.

Major Frameworks/Components:

• Post-COVID-19 Condition (PCC): A syndrome characterized by persistent symptoms, most notably debilitating cognitive and physical fatigue, following an initial COVID-19 infection.
• Cerebral Perfusion: The flow of blood through the brain, which delivers necessary oxygen and nutrients. Decreased perfusion was observed in specific regions associated with attention and sensory processing.
• Sustained Attention Task: A diagnostic tool used to measure a subject's ability to maintain focus and respond to stimuli over time, revealing slower and more inconsistent performance in patients with PCC.
• Functional Magnetic Resonance Imaging (fMRI): The neuroimaging technique utilized to measure brain activity by detecting changes associated with blood flow.

Teenage Girl Fatigue: Heavy Periods, Not Iron Deficiency

According to the researchers, iron deficiency could not explain why some girls were more tired than others in the current study.
Photo Credit: Vitolda Klein

Scientific Frontline: Extended "At a Glance" Summary: Fatigue in Teenage Girls

The Core Concept: A recent study indicates that fatigue in teenage girls is strongly associated with heavy menstrual bleeding, skipping meals, and daily nicotine use, rather than iron deficiency.

Key Distinction/Mechanism: Contrary to the common medical assumption that iron deficiency is a primary driver of fatigue in this demographic, researchers found no significant difference in self-reported tiredness between girls with and without iron deficiency; instead, heavy periods themselves, lifestyle factors like skipping breakfast or school lunch, and daily smoking or snus use were the linked factors.

Origin/History: The findings, published in Acta Psychologica in September 2026 by researchers at Lund University, are based on a study of 485 girls aged 15-19 from upper secondary schools in Lund and Malmö, Sweden.

Major Frameworks/Components:

• Questionnaire Assessment: Participants answered questions regarding fatigue levels, quality of life, menstruation characteristics, eating habits, and nicotine consumption.
• Biomarker Analysis: Blood samples were analyzed to measure ferritin and hemoglobin levels, with almost four in ten participants exhibiting ferritin levels below the WHO threshold of 15 µg/L.
• Statistical Correlation: Researchers correlated self-reported fatigue on a 100-point scale against the presence of heavy periods (a 4-5 point difference was observed), dietary patterns (including vegetarianism, which did not correlate with increased fatigue despite a higher prevalence of iron deficiency), and nicotine use.

Somnology: In-Depth Description

Somnology is the scientific and clinical study of sleep, encompassing its physiological, neurological, and psychological dimensions, as well as the diagnosis and treatment of sleep disorders. Its primary goals are to understand the fundamental mechanisms and functions of sleep, how it regulates physical and mental health, and to develop targeted interventions for disruptions to normal sleep architecture.

Tau Buildup Disrupts Deep Sleep and Memory in New Study

In healthy older study participants, PET scans revealed the protein tau building up over time in their frontal cortices. This buildup correlates with shortened, isolated slow brain waves during sleep and with memory loss.
Image Credit: Courtesy of Omer Sharon/UC Berkeley Department of Psychology

Scientific Frontline: Extended "At a Glance" Summary: Sleep Disruption and Alzheimer's Protein Buildup

The Core Concept: Buildup of the protein tau in the brain's frontal cortex disrupts the synchronized, traveling slow brain waves that occur during non-REM deep sleep, which impairs the consolidation of episodic memories.

Key Distinction/Mechanism: Instead of slow brain waves cascading across the brain during deep sleep, increased tau levels correlate with "lonely waves" that travel shorter distances and are less synchronized, directly hindering the brain's ability to retain new memories overnight.

Major Frameworks/Components:

• Non-REM Sleep: A deep sleep phase where neurons in the frontal cortex shut down and reactivate in coordinated, slow waves across the brain.
• Episodic Memory: The recollection of specific events or experiences, which relies on the slow-wave cascades during non-REM sleep for long-term consolidation.
• Tau Protein: A known biomarker for Alzheimer's disease that accumulates in the frontal cortex as individuals age.
• "Lonely Waves": Irregular, localized brain waves observed in older adults with higher tau levels, replacing the healthy, sweeping slow waves.

Spleen Imaging and Genetics Link to Coronary Artery Disease Risk

Machine-learning tools extracted information about the spleen from patient MRI scans.
Image Credit: Kamineni M et al., Science Translational Medicine, Sept. 2026.

Scientific Frontline: Extended "At a Glance" Summary: The Spleen and Coronary Artery Disease

The Core Concept: Researchers have identified specific structural features in the spleen, visible on MRI scans, that are associated with an increased risk of coronary artery disease (CAD).

Key Distinction/Mechanism: Unlike traditional CAD assessments that focus on the heart and blood vessels directly, this approach uses artificial intelligence to analyze nuanced changes in the spleen, a central hub of the blood-forming system. It links these physical variations (like irregular texture) to genetic variants already known to increase CAD risk.

Major Frameworks/Components:

• Artificial Intelligence and Imaging: The study utilized AI tools to analyze abdominal MRI scans from 42,059 participants in the UK Biobank, extracting 107 splenic features, ten of which correlated with CAD.
• Genomic Analysis: Genome-wide association analyses confirmed that genes linked to both these splenic features and CAD are involved in inflammation, smooth muscle cell function, hypertension, and fat cell formation.
• Non-Coding Regulatory Regions: Many of the associated genetic variants were located in non-coding regions of the genome. Specifically, two variants on chromosome 9 were linked to irregular spleen texture and increased CAD risk, independent of conventional risk factors like cholesterol.

Statin Mechanism in Liver Cancer Prevention Discovered

Image Credit: Scientific Frontline / stock image

Scientific Frontline: Extended "At a Glance" Summary: Statin Effects on Hepatic Stellate Cells in Liver Cancer

The Core Concept: Researchers have identified a specific cellular pathway involving hepatic stellate cells that may explain how statins, commonly used to lower cholesterol, help slow or prevent the development of primary liver cancer associated with fatty liver disease.

Key Distinction/Mechanism: Statins reduce the levels of geranylgeranyl pyrophosphate (GGPP), which in turn alters the structure of hepatic stellate cells and keeps the YAP protein out of the cell nucleus. This prevents YAP from activating genes that remodel tissue and potentially fuel tumor growth, demonstrating a chemopreventive effect independent of cholesterol reduction.

Major Frameworks/Components:

• Metabolic dysfunction-associated steatotic liver disease (MASLD): The most common cause of chronic liver disease and a major risk factor for hepatocellular carcinoma.
• Hepatic Stellate Cells: Cells that maintain liver structure and can change behavior in response to injury, with specific populations accumulating near MASLD-related tumors.
• GGPP-Rho-YAP Pathway: The specific molecular signaling chain disrupted by statins, involving GGPP (geranylgeranyl pyrophosphate), Rho GTPases (proteins regulating internal cell structure), and YAP (a signaling protein).
• Single-nucleus RNA sequencing & spatial imaging: Laboratory techniques used to identify stellate cell populations and their proximity to tumors.