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Neuronal APOE4-induced early hippocampal network hyperexcitability in Alzheimer's disease pathogenesis Although neuronal hyperactivity was previously reported in the entorhinal cortex of aged E4-KI mice46, there is a lack of data on age-dependent APOE4 effects on network excitability in the hippocampus—a brain region critical for spatial learning and memory that is affected early in AD48. To investigate age- and APOE4-dependent network activity changes, we analyzed in vivo LFP recordings from two independent cohorts of young (5–10 months) and aged (12–18 months) E-KI mice8. We focused on IIS (Fig. 1a), a key biomarker of network hyperexcitability characterized by spontaneous, high-amplitude and brief synchronous discharges of neuronal populations49, commonly observed in patients with AD11 and in most AD mouse models14. We assessed IIS rates across hippocampal cell layers in dorsal CA1, CA3 and dentate gyrus (DG) regions during periods of activity. Our results identified early, APOE4-induced and region-specific network hyperexcitability: starting at a young age, E4-KI mice displayed elevated IIS rates in CA3 (Fig. 1b) and DG (Fig. 1c) but not in the CA1 region (Fig. 1d), compared to age-matched E3-KI animals. Despite exhibiting network hyperexcitability, young E4-KI mice did not display spatial learning impairments in the Morris water maze (MWM) test compared to their E3-KI counterparts (Fig. 1f). However, by 14 months...

Neuronal APOE4-induced early hippocampal network hyperexcitability in Alzheimer's disease pathogenesis
->Nature | More on "APOE4 hippocampal hyperexcitability Alzheimer's pathogenesis" at BigEarthData.ai | #Disease #Health

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Fiber-Metabolizing Bacteria Could Boost Gut Health in Celiac Disease Celiac disease is an immune-mediated condition in which gluten, a protein in wheat products, causes inflammation in the small intestine. The only current treatment for celiac disease is for individuals to switch to a gluten-free diet. Although this strategy minimizes disease symptoms, it can be low in fiber, which promotes gut health and function. While previous studies showed that individuals with celiac disease have distinct gut microbiomes from people without the condition, scientists have not explored the fiber-metabolizing capacity of this population or how fiber and its byproducts affect them.1 In a study published in Nature Communications, researchers from McMaster University showed that people with celiac disease have reduced populations of fiber-metabolizing gut bacterial families.2 In mice, the team demonstrated that the metabolism of specific fibers produced short-chain fatty acids (SCFAs) that promoted gut health, including decreasing inflammation from gluten sensitivity. The findings provide insights into how to improve gluten-free diets to increase proper gastrointestinal function and healing in people with celiac disease. The researchers collected gut microbiome samples from 27 people with celiac disease: 16 had been recently diagnosed, and 11 had been diagnosed and adhering to a gluten-free diet for at least two years. They determined the microbiota...

Fiber-Metabolizing Bacteria Could Boost Gut Health in Celiac Disease
->The Scientist | More on "Celiac gut microbiome fiber bacteria" at BigEarthData.ai | #Disease #Health

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An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication of Kawasaki disease (KD) and remains difficult to identify early. Existing risk scores are not tailored for MGCAA and lack external validation. Interpretable machine learning (ML) approaches may improve early risk stratification. Methods We retrospectively analyzed 443 patients from Fuzhou (development cohort) and 2,334 from Suzhou (external validation). Multiple ML algorithms were compared, and a random forest (RF ranger) model was selected. Six routinely collected predictors were retained, and model interpretability was assessed using SHapley Additive exPlanations (SHAP). Discrimination, calibration, and decision curve analysis (DCA) were conducted. Intercept-only recalibration was applied for external adaptation. Results The final model included hemoglobin, time to diagnosis, oral mucosal changes, rash, triglycerides, and neutrophil percentage. The AUC was 0.70 in internal validation and 0.75 in external validation. Recalibration improved calibration-in-the-large. SHAP analysis supported the clinical interpretability of the selected predictors, and DCA indicated potential net benefit within a limited range of low-to-moderate threshold probabilities. The model is available as a web-based tool to support individualized risk estimation. Conclusions This interpretable machine learning model enables early risk stratification for MGCAA using six routinely collected clinical variables, and may assist individualized clinical risk assessment in children...

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation
->Nature | More on "Kawasaki disease aneurysm machine learning" at BigEarthData.ai | #Disease #Health #MachineLearning

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UCLA researchers develop low-cost blood test to detect multiple cancers and other diseases from a single sample - Newsroom UCLA scientists have developed a simple and cost-effective blood test that, in early studies, shows promise in detecting multiple cancers, various liver conditions and organ abnormalities simultaneously by analyzing DNA fragments circulating in the bloodstream. The test, described in the journal Proceedings of the National Academy of Sciences, could offer a powerful and more affordable approach to early disease detection and comprehensive health monitoring. “Early detection is crucial,” said Dr. Jasmine Zhou, the study’s senior author, a professor of pathology and laboratory medicine and investigator at the UCLA Health Jonsson Comprehensive Cancer Center. “Survival rates are far higher when cancers are caught before they spread. If you detect cancer at stage one, outcomes are dramatically better than at stage four.” The new method, called MethylScan, works by analyzing cell-free DNA (cfDNA), tiny fragments of genetic material released into the blood when cells die. Because cells from every organ shed DNA into the bloodstream, cfDNA carries molecular signals that reflect what is happening throughout the body. “Every day, 50 to 70 billion cells in our body die. They don’t just disappear, their DNA goes into the bloodstream,” Zhou said. “That means we already have information from all our organs circulating in...

UCLA researchers develop low-cost blood test to detect multiple cancers and other diseases from a single sample - Newsroom
->UCLA | More on "Blood test detects multiple cancers" at BigEarthData.ai | #Disease #Health

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Hooray! More of this please. 👏 🚲 Our continued existence on the planet depends on it. #ClimateCrisis #disease #obesity #MentalHealth #happiness #CleanAir

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Climate change reshaping disease patterns, straining health systems, finds report Climate change is emerging as a major public health threat in India, reshaping disease patterns, straining healthcare systems, and placing nearly 40% of districts at high risk from extreme weather events, according to a new report. The report, Under the Weather: India’s Climate-Health Intersections and Pathways to Resilience, by Dasra, a philanthropy fund organisation, highlights how rising temperatures, erratic rainfall, floods, and cyclones are no longer isolated events but part of a continuous cycle of disruption affecting health, livelihoods, and access to care across the country. Changing disease landscape Extreme weather events in India are increasing in frequency and intensity, bringing both immediate and long-term risks, the report notes. Floods trigger outbreaks of water-borne diseases such as cholera and hepatitis, while heatwaves lead to dehydration, heatstroke, and increased cardiovascular stress. The report says climate change is altering how diseases spread. Warmer temperatures and shifting rainfall patterns are expanding the range of vector-borne diseases such as dengue and malaria into new regions. Areas that were previously unaffected, including Shimla, parts of Jammu & Kashmir, and the Himalayan foothills, are now reporting cases. The report also identifies Pune as a major dengue hotspot, with cases expected to rise further. Non-communicable diseases are...

Climate change reshaping disease patterns, straining health systems, finds report
->The Hindu | More on "Climate health risks in India" at BigEarthData.ai | #Disease #Health #ClimateChange

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Development of a Personal #Health Management Service Using Clinical Data Warehouse Data: An Algorithm for Chronic #Disease Prediction Date Submitted: Mar 22, 2026. Open Peer Review Period: Apr 2, 2026 - May 28, 2026.

Reminder>> Development of a Personal #Health Management Service Using Clinical Data Warehouse Data: An Algorithm for Chronic #Disease Prediction (preprint) #openscience #PeerReviewMe #PlanP

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The only problem with #vaccines is they're so effective at preventing deaths that they create generations of people who think #disease was never a problem in the 1st place because they have never experienced the horrors of a world without vaccines.

#vaccination #anti-vaxxers #anti-vaxxersarestupid

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Why Bird Flu Is Rising Again In 2026 Concerned about avian influenza? Learn why bird flu is rising again in 2026 and discover practical strategies to protect yourself from bird flu this season.

If you don’t report it or study it or test for it, it magically goes away.

But that’s not true in any scenario.

#birdflu #infectious #disease

doralhw.org/why-bird-flu...

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Imaging study sheds light on how deep brain stimulation acts on Parkinson's disease

Imaging study sheds light on how deep brain stimulation acts on Parkinson's disease
->Medical Xpress | More on "Deep brain stimulation Parkinson's imaging" at BigEarthData.ai | #Disease #Health

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Machine Learning Models for Predicting Stroke Risk Among Patients with Coronary Heart Disease Data Source and Preprocessing This study employed secondary data on coronary heart disease obtained from the IEEE DataPort repository, one of the most well-known platforms providing high-quality datasets for cardiovascular and epidemiological research [33]. The dataset is derived from the Behavioral Risk Factor Surveillance System (BRFSS) survey and comprises responses from 253,680 individuals, collected across the United States. The data were accessed for research purposes in April 2025. The dataset contains 22 variables, including demographic, lifestyle, behavioral, clinical, healthcare access, and overall health status variables. Among the total respondents, 248,960 participants reported no history of stroke, whereas 4,720 participants self-reported a positive stroke status. Although the data were collected in the United States, the included risk factors—such as smoking behavior, cholesterol levels, high blood pressure, and diabetes—represent stroke determinants that are prevalent across both high-income and low- and middle-income settings. This makes the dataset suitable for developing generalized stroke prediction models that can later be adapted and validated using region-specific datasets to improve local applicability. The dataset is publicly available and fully anonymized. The authors did not have access to any information that could identify individual participants during or after data collection. To model the data, a systematic preprocessing pipeline...

Machine Learning Models for Predicting Stroke Risk Among Patients with Coronary Heart Disease
->medRxiv | More on "Machine learning stroke risk prediction" at BigEarthData.ai | #Disease #Health #MachineLearning

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Deadly disease is coming back - doctors say they haven't seen it for 'years and years' A deadly vaccine-preventable disease is making a comeback. A highly contagious and fast-moving infection that primarily affects children under five years of age is back, as fewer babies get vaccinated year after year. And doctors who have been trained in the past 40 years have never seen a case before. Prior to a vaccine being readily available, nearly 20,000 children were affected by the illness, resulting in permanent brain damage and 1,000 deaths per year, according to the CDC. While a vaccine was eventually created in 1987, the CDC reported last week that the percentage of babies who received a full series of Haemophilus influenzae type b shots fell slightly from 78.8% to 77.6% between 2019 and 2021. Despite the name, Haemophilus influenzae bacteria, also known as Hib, isn’t the same flu that circulates every winter. Rather, they’re bacteria that live in the nose and throat, and can be spread by coughs or sneezes, causing several types of infections, both mild and serious. These can range from mild ear infections and bronchitis, to more severe pneumonia, bloodstream infections, meningitis, epiglottitis (swelling of the throat), cellulitis (skin infection) and infectious arthritis (swelling of a joint). Since several types of infections can...

Deadly disease is coming back - doctors say they haven't seen it for 'years and years'
->New York Post | More on "Hib disease vaccine coverage decline" at BigEarthData.ai | #Disease #Health

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Syeda Mehreen Tahir is a 5th year Ph.D. candidate in Environmental Biology at Arizona State University working with Dr. Jon Harrison and Dr. Arianne Cease. Her research focuses on nutritional immunology, examining how dietary protein-to-carbohydrate ratios shape immune function and disease outcomes. Using a multi-omics approach that integrates physiological assays, transcriptomics, and metabolomics, her work explores trade-offs between immune investment and pathogen susceptibility, with broader implications for host–pathogen interactions in variable nutritional environments. Mehreen is currently seeking postdoctoral opportunities and would be delighted to hear from potential collaborators or mentors at smtahir2@asu.edu.

Syeda Mehreen Tahir is a 5th year Ph.D. candidate in Environmental Biology at Arizona State University working with Dr. Jon Harrison and Dr. Arianne Cease. Her research focuses on nutritional immunology, examining how dietary protein-to-carbohydrate ratios shape immune function and disease outcomes. Using a multi-omics approach that integrates physiological assays, transcriptomics, and metabolomics, her work explores trade-offs between immune investment and pathogen susceptibility, with broader implications for host–pathogen interactions in variable nutritional environments. Mehreen is currently seeking postdoctoral opportunities and would be delighted to hear from potential collaborators or mentors at smtahir2@asu.edu.

This week's #SICB student awardee spotlight is on
Division of #Ecoimmunology and #Disease #Ecology
Best student talk: Syeda Mehreen Tahir
search.asu.edu/profile/3884...
for work on
High protein diet increases susceptibility of #desert locust, Schistocerca gregaria to Metarhizium bi

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Robust apple leaf disease diagnosis for sustainable horticulture Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, 800005, Bihar, India Shyam Singh Rajput ICAR-Central Institute of Temperate Horticulture, Srinagar, 191132, Jammu and Kashmir, India Ronit Jaiswal, Sajad Un Nabi, Javid Iqbal Mir & Mahendra Kumar Verma ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India Rajeev Ranjan Kumar Authors Shyam Singh Rajput PubMedGoogle Scholar Ronit Jaiswal PubMedGoogle Scholar Sajad Un Nabi PubMedGoogle Scholar Javid Iqbal Mir PubMedGoogle Scholar Mahendra Kumar Verma PubMedGoogle Scholar Rajeev Ranjan Kumar PubMedGoogle Scholar Contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by SSR, RJ, SUN, JIM, MKV and RRK. The first draft of the manuscript was written by SSR and RJ, and RRK commented on its improvement. Reviewing is done by SUN, JIN and MKV. All authors read and approved the final manuscript. Corresponding authors Correspondence to Ronit Jaiswal or Rajeev Ranjan Kumar. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the...

Robust apple leaf disease diagnosis for sustainable horticulture
->Nature | More on "Apple disease AI diagnosis technology" at BigEarthData.ai | #Disease #Health #Sustainable

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#Alzheimer #disease

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#SONICAICOVER || 🔊 BEHIND THE COVER ep.4 - DISEASE 🛠️

☆Official Discord server and other socials links: (link in bio)

#sonicthehedgehog #shadowthehedgehog #soniceditor #sega #aicover #aisongcover #songcover #acapella #coveracapella #disease #ladygaga #viral #fyp

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#SONICFANART / #SONICAICOVER || GUYS, THE DISEASE ARTWORK SPEEDPAINT IT'S OUT NOW! RUN TO SEE IT! 🖌️🎨⚡💉❤️‍🩹🧬✨

☆Song edited audio: @➜Daryl Banner on YT

#sonicthehedgehog #shadowthehedgehog #sonicartist #sega #disease #ladygaga #myart #viral #fyp

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#SONICFANART / #SONICAICOVER || 💉❤️‍🩹🧬 DISEASE - ARTWORK PROJECT (part 5) 🧬❤️‍🩹💉

(the end)

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#SONICFANART / #SONICAICOVER || 💉❤️‍🩹🧬 DISEASE - ARTWORK PROJECT (part 4) 🧬❤️‍🩹💉


#sonicthehedgehog #shadowthehedgehog #sonicandshadow #sonicartist #sonicaicover #sonicsega #sega #digitalart #digitalpainting #disease #ladygaga #myart #viral #fyp

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#SONICFANART / #SONICAICOVER || 💉❤️‍🩹🧬 DISEASE - ARTWORK PROJECT (part 3) 🧬❤️‍🩹💉


#sonicthehedgehog #shadowthehedgehog #sonicandshadow #sonicartist #sonicaicover #sonicsega #sega #digitalart #digitalpainting #disease #ladygaga #myart #viral #fyp

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#SONICFANART / #SONICAICOVER || 💉❤️‍🩹🧬 DISEASE - ARTWORK PROJECT (part 2) 🧬❤️‍🩹💉


#sonicthehedgehog #shadowthehedgehog #sonicandshadow #sonicartist #sonicaicover #sonicsega #sega #digitalart #digitalpainting #disease #ladygaga #myart #viral #fyp

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#SONICFANART / #SONICAICOVER || 💉❤️‍🩹🧬 DISEASE - ARTWORK PROJECT (part 1) 🧬❤️‍🩹💉

(a thread 🧵⬇)

#sonicthehedgehog #shadowthehedgehog #sonicandshadow #sonicartist #sonicaicover #sonicsega #sega #digitalart #digitalpainting #disease #ladygaga #myart #viral #fyp

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#SONICAICOVER || 🦔💙❤️🖤💉❤️‍🩹🧬🎤✨

☆Official website and other socials links: (link in bio)

#sonicthehedgehog #shadowthehedgehog #sonicandshadow #soniceditor #sonicaicover #sonicsega #sega #aicover #aisongcover #songcover #disease #diseaseladygaga #ladygaga #viral #fyp

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U.S. scientists sequence 1,000 genomes from measles, a disease vaccines had long eliminated

U.S. scientists sequence 1,000 genomes from measles, a disease vaccines had long eliminated
->Missoulian | More on "Measles genome sequencing vaccine research" at BigEarthData.ai | #Health #Measles #Disease #Vaccine #Science

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Calls Of Christ's Resurrection
Calls Of Christ's Resurrection YouTube video by Macinta Ministries

Calls Of Christ's Resurrection
www.youtube.com/watch?v=Vuin...
#Eternal_life #hope #new_body #sickness #disease #aging #death #mortify #crucify #action #remove_sin #awake #put_on_Christ #MacintaMinistries

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Title:Graph-Theoretical EEG Analysis Reveals #VirtualReality #VR–Induced Brain Network Modulation in Alzheimer’s #Disease Date Submitted: Mar 31, 2026. Open Peer Review Period: Apr 1, 2026 - May 27, 2026.

Reminder>> Title:Graph-Theoretical EEG Analysis Reveals #VirtualReality #VR–Induced Brain Network Modulation in Alzheimer’s #Disease (preprint) #openscience #PeerReviewMe #PlanP

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Pearling drives mitochondrial DNA nucleoid distribution The distribution of mitochondrial DNA–containing nucleoids is essential for mitochondrial function and genome inheritance; however, no known mechanisms can explain nucleoid segregation or their regula...

Easter edition of #Mitochondria in #Health and #Disease!
🐰🐣
biomed.news/bims-mitdis/...

@gavinmcstay.bsky.social @mitoscientist.bsky.social @biomednews.bsky.social @mitoscientists.bsky.social

Perling drives mtDNA nucleoid distribution
www.science.org/doi/10.1126/...

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New cases of a deadly bacterial disease alarm doctors The Hib vaccine drastically cut cases of a once feared contagious disease. New cases in unvaccinated kids feed concern that Hib may have a resurgence.

New incidences of a deadly #bacterial #disease alarm doctors ...

| #bacteria | #MicroSky | #infections | #publichealth | #Hib | #Haemophilus | By @cuevasreports.bsky.social via @usatoday.com

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Heart Disease: Young Adults With Hypertension Have 27% Higher Risk Research shows that young adults with high blood pressure may face a higher risk of cardiovascular and kidney disease later in life. The findings highlight the importance of maintaining healthy blood pressure at a younger age. Guidelines from the American Heart Association (AHA) recommend treating hypertension in adults with a predicted 10-year risk of cardiovascular disease. High blood pressure during young adulthood may be linked to a higher risk of heart disease and kidney disease later in life, according to new research. The findings reinforced the importance of maintaining a healthy blood pressure at younger ages, particularly among adults under 40. This study hasn’t yet been published in a peer-reviewed scientific journal, but the researchers recently presented their findings at the American Heart Association (AHA)’s EPI|Lifestyle Scientific Sessions 2026. “High blood pressure is a known significant risk factor for developing both heart disease and kidney disease,” said Cheng-Han Chen, MD, board certified interventional cardiologist and medical director of the Structural Heart Program at MemorialCare Saddleback Medical Center in Laguna Hills, CA, who wasn’t involved in the study. “It is thus unsurprising, although still concerning, that long periods of elevated blood pressure in young adulthood would lead to premature cardiovascular and...

Heart Disease: Young Adults With Hypertension Have 27% Higher Risk
->Healthline | More on "Young adults hypertension heart risk" at BigEarthData.ai | #Disease #Health

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CDC pauses testing for rabies and other serious infectious diseases Disease tracking is also temporarily halted for mpox and other common viruses, such as Epstein-Barr and varicella zoster.

#CDC "pauses" testing for #rabies, other serious #InfectiousDisease

#Disease tracking is also "temporarily" halted for #mpox, other common #viruses, eg #EpsteinBarr & #VaricellaZoster (the virus that causes #Chickenpox & #HerpesZoster).

#Herpes #Health

www.nbcnews.com/health/healt...

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