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#ClimateChange, #SkinCancer, and medical education: are we preparing future doctors?

Join the webinar On 30 April, 16:00–17:00 CET, hosted by the EUPHA #ChronicDiseases Section!

🔗 Register here: us02web.zoom.us/webinar/regi...

Learn more and join the network: eupha.org/sections/chr...

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This commentary synthesizes recent epidemiological and mechanistic evidence on #coffee and #tea consumption in relation to chronic disease, focusing on what the evolving evidence means for clinical and public-health practice.
@nutrisci.bsky.social
doi.org/10.59717/j.x...
#nutrition #ChronicDiseases

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#ChronicDiseaseCrisis #ChronicDiseases #HealthCrisis #FinancialBurden #DiseasePrevention #HealthyLifestyle #DietAndHealth #EnvironmentalToxins #PodcastInterview #HealthDiscussion #wellnessblogger #biohacking#Wellbeing

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Private Equity Targets Asia’s Healthcare Funding Gap Private capital is racing into Asia’s health sector; Fortune (Mar 29, 2026) notes chronic disease burden while IDF records 537M diabetics (2021), signaling urgent funding gaps.

Private Equity Targets Asia’s Healthcare Funding Gap: Private capital is racing into Asia’s health sector; Fortune (Mar 29, 2026) notes chronic disease burden while IDF records 537M diabetics (2021),… 👈 Read full analysis #PrivateEquity #Healthcare #AsiaFunding #ChronicDiseases #DiabetesAwareness

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A large US study by Emory University finds long-term exposure to fine particulate #airpollution is linked to higher #Alzheimersdisease risk, primarily through direct effects on the brain rather than through related #chronicdiseases.

scitechdaily.com/dirty-air-li...

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#MedicalEducation #ChronicDiseases #HealthcareCosts #ConventionalTreatments #MedicalSchool #HealthDiscussion #wellnessindustry #wellnessbox #wellnessweek #wellnessplanner #DiseaseAwareness #MedicalReform #HealthRevolution #Wellness

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Congratulations to Ntobeko Ntusi on his appointment to this leadership role. We look forward with enthusiasm to his contribution to addressing chronic diseases.

#glistennetwork #chronicdiseases
#medicalresearch #clinicaltrials #clinicaltrialsAfrica #globalsouth

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As a small business healthcare CEO, I know the tough decisions families have to make day after day to care for their loved ones.

I have advocated for their well-being in business, and now I am ready to continue the fight in Congress.

#healthcare #chronicdiseases #goodtrouble #QuincyforCongress

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Help Save Lives Today if you can. Like always, for me #SharingIsCaring due to #SocialSecurity. If I had a lot of money I´d love to donate, but my financial hands are more than tied.
#Disability #ChronicDiseases
💖💖💖
donorbox.org/donate-to-la...
@ladyfreethinker.bsky.social

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Vitiligo in the Digital Spotlight: Retrospective Longitudinal Study in Germany Background: Vitiligo is a chronic skin disease with a global prevalence of approximately 1% to 2%, characterized by depigmented macules. Little is known about the public interest and medical needs of patients with vitiligo in Germany. However, understanding this is critical for a patient-centered holistic therapeutic management of the disease. Objective: This study aimed to analyze vitiligo-related web search behavior across Germany as a proxy for public awareness. A retrospective longitudinal study was conducted using Google Ads Keyword Planner to collect monthly search volume data for vitiligo-related terms from October 2019 to May 2023. Methods: Keywords were identified in the 7 most spoken languages in Germany (German, Turkish, English, Arabic, Russian, and Polish). Seasonal and regional variations were analyzed, along with correlations with population density, dermatologist availability, and weather patterns. Results: In total, 7,764,080 vitiligo-related searches were recorded. Most searches (n=5,808,360, 74.81%) addressed general information. Search volume peaked during the summer months and correlated positively with temperature and sunshine hours (

JMIR Formative Res: Vitiligo in the Digital Spotlight: Retrospective Longitudinal Study in Germany #Vitiligo #SkinHealth #ChronicDiseases #HealthAwareness #PatientCare

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Many people, both Muslims and non-Muslims, are curious about how fasting might impact the #health and #wellbeing, especially those with #chronicdiseases. This month also presents a valuable opportunity for #publichealth professionals to consider implementing #healthpromotion strategies.

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#MedicalEducation #ChronicDiseases #HealthcareCosts #ConventionalTreatments #MedicalSchool #HealthDiscussion #wellnessindustry #wellnessbox #wellnessweek #wellnessplanner #DiseaseAwareness #MedicalReform #HealthRevolution #Wellness

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A new study in @natcomms.nature.com re-analyzed WGS data from ~750k individuals to find viral "dark matter". By mapping viral reads, researchers linked persistent #EBV to #chronicdiseases like Lupus and Dementia. Large-scale omics are key to unlocking new disease #biomarkers

Article: rdcu.be/e2cAt

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Population-scale sequencing resolves determinants of persistent EBV DNA - Nature Population-scale WGS reveals genetic determinants of persistent EBV DNA, linking immune regulation—especially antigen processing and MHC class II variation—to EBV persistence and heterogeneous di...

chronic diseases following infection with a common virus.

@nature.com
#EBV #Genetics #ChronicDiseases

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Don't you agree?

#healthcare #agingparents #seniors #chronicdiseases #QuincyforCongress #MD05

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#ChronicDiseaseCrisis #ChronicDiseases #HealthCrisis #FinancialBurden #DiseasePrevention #HealthyLifestyle #DietAndHealth #EnvironmentalToxins #PodcastInterview #HealthDiscussion #wellnessblogger #biohacking#Wellbeing

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The proposal by ReformLAHealth provides a viable permanent solution to the chronic shortage of doctors in underserved Los Angeles County communities. #shortageofdoctors, #chronicdiseases, #LosAngelesneedssdoctors, #Calcare, ❤️❤️❤️

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#MedicalEducation #ChronicDiseases #HealthcareCosts #ConventionalTreatments #MedicalSchool #HealthDiscussion #wellnessindustry #wellnessbox #wellnessweek #wellnessplanner #DiseaseAwareness #MedicalReform #HealthRevolution #Wellness

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Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study Background: Chronic respiratory diseases often require long-term ventilatory support, leading to a growing number of patients treated with home mechanical ventilation (HMV). Despite advancements in telemonitoring with real-time tracking of non-invasive mechanical ventilation (NIMV) enabled by integrated software in HMV devices, early signs of respiratory decompensation may go unnoticed, leading to emergency visits and hospitalizations, which burden both patients and healthcare systems. Objective: The objective of this study is to develop and evaluate a machine learning-based model capable of predicting respiratory decompensation events, defined as emergency visits or hospitalizations due to acute deterioration in the patient’s underlying respiratory condition. These events reflect episodes of worsening respiratory status that require urgent medical attention. The model uses data from HMV telemonitoring platforms, with the aim of improving patient outcomes. Methods: This retrospective study analyzed data from 482 HMV patients monitored via ResMed, Philips, and Breas platforms, collected between March 2021 and November 2024 at Germans Trias i Pujol Hospital in Catalonia (HUGTiP), Spain. Data included device usage, compliance, mask leakage, and ventilator settings. Decompensation was defined as emergency department visits or hospitalizations. A windowing strategy captured the five weeks prior to events. Multiple machine learning models were trained using grid search to identify the optimal hyperparameters, prioritizing recall in order to minimize false negatives. Models were evaluated using 10-fold cross-validation. Finally, Shapley additive explanations (SHAP) were used for model interpretability. Results: The final dataset included 157 data windows, balanced for positive and negative cases. Among the models tested, logistic regression (LR) achieved the highest recall (0.94 ± 0.06 [0.90-0.98]) though with moderate accuracy (0.60 ± 0.05 [0.56-0.64]). The random forest classifier (RFC) achieved the best balance across metrics (accuracy: 0.66 ± 0.10 [0.59-0.73]; recall: 0.78 ± 0.15 [0.67-0.89]; F1 score: 0.70 ± 0.10 [0.63-0.77]). SHAP analysis revealed that higher usage, leakage, and compliance in the week before a decompensation event were key predictors, suggesting compensatory behavior or early clinical deterioration. Overall performance remained moderate, reflecting limitations in sample size, incomplete longitudinal records for daily data, and the absence of key physiological measurements. Conclusions: This study demonstrates the #feasibility of predicting respiratory decompensation using data from HMV telemonitoring systems. Tree-based ensemble models, particularly random forests, provided the most balanced performance, while SHAP analysis offered clinically relevant insights. Although performance was moderate, the findings support further development of predictive tools to enable timely telemedical interventions. Limitations include sample size, missing physiological parameters, and single-center design. Future research should expand to multicenter datasets and incorporate additional clinical variables to enhance model robustness and generalizability.

JMIR Formative Res: Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study #RespiratoryHealth #HomeMechanicalVentilation #MachineLearning #Telemonitoring #ChronicDiseases

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Melaka Targets Free Influenza Vaccination for High-Risk Elderly Group MELAKA: The Melaka state government has affirmed that free influenza vaccination will be provided exclusively to elderly individuals with chronic diseases due to their increased risk of severe complications, said Exco Datuk Ngwe Hee Sem. He explained that conditions such as diabetes, cardiovascular disease and hypertension significantly heighten vulnerability to life-threatening influenza infections. Ngwe also […]

Melaka Targets Free Influenza Vaccination for High-Risk Elderly Group #InfluenzaVaccination #ElderlyCare #HealthAwareness #ChronicDiseases #Melaka

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The #FDA is rolling out a pilot programme that could make it easier to bring #digitalhealth technologies (DHTs) for #chronicdiseases to market more quickly and easily.

buff.ly/q6t9gpb

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Did you know that poverty & lack of access to healthcare can contribute to chronic health conditions? Don't neglect your health just because of where you live or financial constraints!
Watch at shorturl.at/DU00O
#HealthEquity #SocialDeterminantsOfHealth #ChronicDiseases

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#MedicalEducation #ChronicDiseases #HealthcareCosts #ConventionalTreatments #MedicalSchool #HealthDiscussion #wellnessindustry #wellnessbox #wellnessweek #wellnessplanner #DiseaseAwareness #MedicalReform #HealthRevolution #Wellness

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HSE approves new treatment for hidradenitis suppurativa and axial spondyloarthritis - PharmaTimes Bimekizumab offers fresh option for patients with chronic conditions

#HSE #HealthServiceExecutive #Ireland #hidradenitissuppurativa #HS #axialspondyloarthritis #axSpA #Bimekizumab #BIMZELEX #NadegeFeeser #Immunology #UCB #chronicdiseases #BrianKirby #Dermatology #HSpatients #phase3studies #clinicaltrial #BEHEARD1 #BEHEARD2 #moderatetosevereHS
zurl.co/NrDNa

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Join CARB and @capublichealth.bsky.social California Climate Action Team - Public Health Workgroup meeting to learn about the intersection of climate change and chronic diseases

📆Nov. 19, 2025
⏰10:00 a.m.

Register: cdph-ca-gov.zoom.us/webinar/regi...
#ClimateChange #ChronicDiseases

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American Diabetes Month: It All Matters | American Diabetes Association November is American Diabetes Month®, a time to raise awareness about diabetes and join together in the work for a cure.

" #November is #AmericanDiabetesMonth ®, a time to raise awareness about diabetes..Diabetes is one of the fastest growing #ChronicDiseases in the world. Nearly one in two Americans has #diabetes or #prediabetes.": buff.ly/m6o4xEF

via @amdiabetesassn.bsky.social

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