Mar 11 2026 – Broadband and Health: Collaboration, Funding, and Policy VIDEO | AUDIO | RECAP | ARCHIVE | PERMALINK On March 11. 2026 the Benton Institute for Broadband & Society hosted a webinar ‘Broadband and Health: Collaboration, Funding, and Policy&#8217…

RECORDING / RECAP - Broadband and Health: Collaboration, Funding, and Policy @wa-health-care.bsky.social @netinclusion.bsky.social #healthgap #digitalhealth #broadband #telehealth isoc.live/20359/

Come join us as a #digitalhealth postdoc!

Wearables and Time-series Modeling
Icahn School of Medicine at Mount Sinai

See the full job description on jobRxiv: jobrxiv.org/job/icahn-school-of-medi...

#ScienceJobs

Ulixes Sgr e Lumen Ventures lanciano 'Lumen II', fondo dedicato a insurtech, fintech e digital health (Adnkronos) - Ulixes Sgr e Lumen Ventures annunciano il lancio di 'Lumen II', veicolo dedicato a investimenti in fase seed con un focus settoriale su insurtech, fintech, digital health e cybersecurity. Il fondo ha già completato con su...

TI POTREBBE INTERESSARE: Ulixes Sgr e Lumen Ventures lanciano 'Lumen II', fondo dedicato a insurtech, fintech e digital health ... LEGGI TUTTO #Insurtech #Fintech #DigitalHealth #Cybersecurity #Investimenti

Palantir-Chef Karp: „Wir unterstützen Kriegsführung und wir sind stolz darauf“

„There are no secrets“, so das Motto von Palantirs Konferenz, auf der die Software als Wunderwaffe inszeniert wird – vor allem für Militär und Gesundheitswesen […]

📱 Cycle Tracking Apps: Empowerment or Exploitation?

Jessica Snow explores the benefits, risks and ethical questions around cycle tracking apps and what they mean for women’s health and data privacy.
🔗 Read more:
maternityandmidwifery.co.uk/nurses-invit...

#WomensHealth #FemTech #DigitalHealth

The Stagnant Scale Welcome to the discussion that will shape the next two decades of your life. In this episode of ZonEthos, Mitchel breaks down the ambitious (and terrifying) 2025–2045 roadmap for digital health. Are we moving from reactive medicine toward a utopia of proactive health, or are we heading toward “Algorithmic Anxiety,” where we’ll lose our biological autonomy? We analyze the end of the traditional gym, the rise of the Behavioral Digital Twin, and how tech monopolies like Apple and Whoop will try to control your emotional capital. If you care about your longevity and your freedom, this analysis is a must-watch. Translated with DeepL.com (free version)

📣 New Podcast! "The Stagnant Scale" on @Spreaker #ai #algorithmicanxiety #autonomy #biohacker #digitalhealth #digitaltwin #digitaltwins #fitnessmotivation #futureofhealth #futuro #humanfriction #ia #privacy #saludproactiva #tech #techethics #trend #well_being #wellness #zonethos

Clinical Perspectives on #DigitalHealth Technologies in Post-Stroke Self-Management and Rehabilitation: A Systematic Review Based on the NASSS Framework (preprint) #openscience #PeerReviewMe #PlanP

Thanks for sticking through:

​Insights from a CEO of Digital Health as well anothee one from a leading Oncologist and the are forthcoming. 🩺💻
​Keep reading Emotion Encoded encodedemotion.org

#ArtificialIntelligence #Healthcare #AIinHealthcare#TechEthics #Tech #DigitalHealth #MedicalResearch

LucidQuest

Accelerate success in #Pharma & #Biotech!

🔬 Join LucidQuest on YouTube for #insights across therapeutic areas, as well as #ArtificialIntelligence, #MachineLearning, #DigitalHealth & more.

Subscribe & shape the future of #healthcare: http://dlvr.it/TRTMk8 🚀



#Strategy

Reminder>> Assessment of Challenges Faced by #HealthCare Professionals in operating various #DigitalHealth Applications in Primary #Health Centres:Cross Sectional #Study (preprint) #openscience #PeerReviewMe #PlanP

Digital Phenotyping of Pain Modulation and Associations Among Personality, Attachment, and Behavioral Signatures: Cross-Sectional Study Background: The transition from acute to chronic pain often reflects a persistent dissociation between physical tissue damage and subjective reports. In alignment with the 2020 International Association for the Study of Pain definition, pain is a personal experience filtered through a latent “susceptibility architecture.” While clinical assessment currently relies on static, text-based questionnaires, these are often confounded by linguistic interpretation bias and cognitive literacy. We hypothesized that an individual’s internal psychological substrate—traditionally captured via text—can be characterized through real-time behavioral signatures during physical challenge. Objective: This study aimed to demonstrate that the “pain-prone” phenotype can be identified through high-frequency digital assessment of pain ratings. By correlating established psychometric traits with dynamic behavioral signatures, we sought to establish a foundation for “digital phenotyping” that moves beyond the limitations of linguistic self-reports. Methods: A cohort of 534 healthy volunteers (mean age 38.62, SD 22.35 years; n=336, 62.9% male and n=198, 37.1% female) underwent a controlled thermal stimulation protocol (36 °C, 44 °C, 46 °C, and 48 °C). Continuous pain intensity was recorded via a high-frequency (1000 Hz) digital visual analog scale (VAS). To establish a psychological baseline, participants were profiled using the Revised NEO Personality Inventory (NEO PI-R) and the Relationship Questionnaire. Two behavioral indexes were then derived from the digital VAS: the temporal augmentation index (TAI), reflecting within-stimulus physiological sensitization, and the cognitive contrast effect (evaluative instability). Statistical significance was adjusted using the false discovery rate. Results: Repeated-measure multivariate ANOVA confirmed a highly significant main effect of time for all noxious conditions (P

JMIR Formative Res: Digital Phenotyping of Pain Modulation and Associations Among Personality, Attachment, and Behavioral Signatures: Cross-Sectional Study #PainManagement #DigitalHealth #ChronicPain #MentalHealth #BehavioralScience

AI Is Quietly Taking Over Medicine. That Is Both Wonderful and Slightly Terrifying. From wearables and AI therapists to echocardiography models, drug design engines, and biotech agent swarms, healthcare is becoming the…

AI is moving into medicine fast.

Health-data analysis, ultrasound models, drug design engines, biotech agent swarms, and AI therapy are making healthcare one of the most important AI battlegrounds.

go.abvx.xyz/kcd3lt

#MedicalAI #DigitalHealth #AI

MindOra(tm) - Apps on Google Play MindOra™: Relaxation Sounds, Mind-Body Exercises & Wellness Tracking

MindOra™ supports daily mind and body wellness with soothing sounds, guided breathing, physical exercises, sleep reminders, and tracking for GLP meds, weight, BP, and more.

Android: 👉 tinyurl.com/4ybk3uec
Apple: 👉 tinyurl.com/5cshskk5

#MindOra #Wellness #DigitalHealth #MindBody

300+ peer-reviewed presentations where clinical and translational informatics converge. Amplify Informatics Conference, May 18–21 in Denver. Early bird ends March 17.

amia.org/education-ev...

#HealthInformatics #DigitalHealth #Amplify2026

Because peace of mind matters for everyone in the family… including the four-legged supervisors.

✔ Wellness, Checked.



#YourWellCheck #WellnessChecked #CocoTheMascot #CaregiverSupport

#HealthTech #DigitalHealth #CareWithHeart #StartupLife #DogOfTheDay

#TechForGood

AI improves diagnostics and personalized care.

Join AIIM 2026 – AI in Medicine (Edition-2) and explore the future of AI-driven healthcare.

May 04–05, 2026 | Boston
In-Person or Online

🔗 ai-medicalcongress.com

#AIIM2026 #AIinMedicine #HealthcareAI #DigitalHealth #MedTech #HealthTech

#himss26 #ai #healthcare | Evan Kirstel | Paul Cochrane Great conversation from the show floor at #HIMSS26. In this interview, Michael Campbell, Hyland's Chief Product Officer, talks about a more practical path for healthcare organizations looking to appl...

Great conversation from the floor at #HIMSS26. Michael Campbell, Hyland’s Chief Product Officer, shares a practical path for applying AI in healthcare by starting with the unstructured content already powering clinical and operational workflows. #HealthcareIT #HealthcareAI #DigitalHealth

#himss26 #ai #healthcare | Evan Kirstel | Paul Cochrane Great conversation from the show floor at #HIMSS26. In this interview, Michael Campbell, Hyland's Chief Product Officer, talks about a more practical path for healthcare organizations looking to appl...

Great conversation from the floor at #HIMSS26. Michael Campbell, Hyland’s Chief Product Officer, shares a practical path for applying AI in healthcare by starting with the unstructured content already powering clinical and operational workflows. #HealthcareIT #HealthcareAI #DigitalHealth

Come with me to the
HL7 Work Group and Connectathon!
#digitalhealth #raybanmeta #sparked #HL7

Digital Health: How Technology is Revolutionizing Patient Care & Access From telemedicine to AI diagnostics: How digital health is transforming patient care, improving access, and reshaping medicine.Subscribe Now

Digital health technologies are transforming healthcare delivery.

Telemedicine platforms, wearable health devices, and AI-driven diagnostics.

Read the article 👇
www.zeeglobalvision.com/2026/03/digi...

#HealthTech #DigitalHealth #FutureMedicine #MedicalInnovation #ZeeGlobalVision

The speaker line up is confirmed for workshop: Optimisation for Health Solutions. Join leading experts from academia, industry and government.
25 March, Melbourne
optima.org.au/outreach-and...
#digitalhealth #optimisation #healthcare #FREE

Google’s AI medical assistant shows doctor-level diagnostic reasoning in real clinic study A prospective feasibility study in an urgent care clinic tested a conversational AI system (AMIE) with 100 real patients to evaluate whether it could safely collect medical histories before doctor vis...

Google’s conversational AI, AMIE, just aced a real-world clinic trial: it interviewed patients and generated diagnostic insights on par with physicians. Is this the future assistant for overwhelmed clinics? www.news-medical.net/news/2026031... #Healthcare #AI #DigitalHealth

Encodedemotion.org

“What would you do if a hospital AI tool recommended a treatment that was different from your doctor’s advice?”

#HumanDecisionMaking #TechResponsibility #AIResearch #TrustInAI #AIandHealthcare
#FutureOfMedicine
#PsychologyOfAI
#HumanAndMachine
#DigitalHealth
#AIAdoption

HealthSteps™ combines social connection with wellness, like X, only better:

Match for love or work worldwide 🌍
Share thoughts and news 📰
Walk with users anywhere 🚶
Track health and wellness ❤️

A smarter way to connect.
healthsteps.us
#HealthSteps #DigitalHealth #Wellness #SocialMedia

The ChatGPT Health controversy: what the viral Nature Medicine study missed with David Fraile Navarro Welcome to Pulse: Amplify, where we sit down with the leaders and...

🎙️New episode drop Pulse💗: The ChatGPT Health controversy: what the viral Nature Medicine study missed with David Fraile Navarro. Listen in your favourite podcast app! #digitalhealth #healthtech #healthcare #innovation

Human Longevity launches a mobile platform that uses AI and long-term health data to help users track risks and stay engaged.

vist.ly/4uqa4

#longevity #DigitalHealth #AIinHealthcare #PrecisionHealth #HealthData #HealthTech

Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data Background: The increasing use of smartphones among older adults offers new opportunities for social connection but may also pose risks associated with adverse mental health outcomes, including depression. Objective: This study examined the relationship between smartphone use and depression among older adults in Guangzhou, China, to identify key predictors and complex configurations associated with depression. Methods: Using a hybrid analytic approach applied to survey data from 2585 older adults in Guangzhou, machine learning methods first identified the strongest predictors of depression. Subsequent fuzzy-set qualitative comparative analysis delineated distinct configurations associated with depression. Results: The analysis identified high levels of smartphone addiction and a low preference for interactive use as central configurations associated with depression. These patterns appeared to operate through 2 distinct mechanisms: structural exclusion related to resource limitations and agentic maladaptation associated with relational deficiencies. This underlying vulnerability, in combination with specific sociodemographic factors, delineated distinct depression-related typologies. High-risk profiles included unmarried men with limited educational attainment and socially withdrawn individuals with greater socioeconomic resources. Conclusions: Problematic smartphone use, particularly when it displaces social interaction, is significantly associated with depression among older adults. Interventions should therefore promote healthier interactive digital behaviors and provide targeted support for high-risk groups.

New in JMIR Aging: Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data #SmartphoneAddiction #MentalHealth #Depression #OlderAdults #DigitalHealth

Acceptance of Smart Contracts in Patients Receiving Primary Care: Exploratory Study Background: Health care has seen several new disruptive technologies. One such innovation is the introduction of blockchain smart contracts. These smart contracts are activated automatically once preprogrammed conditions are met. Smart contracts have improved patient outcomes, the efficiency of care delivery, and reduced costs. Despite their benefits, patients have had limited interactions with smart contracts in primary care; therefore, they may not trust blockchain-based smart contracts and may perceive them as risky or have concerns about their security. Objective: This study aimed to evaluate how patients’ perceptions of smart contracts affect their adoption in primary care. Specifically, we investigated the impact of patients’ perceptions of smart contract security, risk, and trust in their health care providers. Methods: This study used an experimental survey design to evaluate acceptance of smart contracts. Patients were randomly assigned to 1 of 2 research scenarios proposing either the positive use of blockchain smart contracts or the loss of benefits if a patient opted out. We collected data from a total of 387 participants. The Likert survey used 3 items to measure 5 constructs in the conceptual model. The 5 hypotheses were that gain-loss-framed messaging, perceived security, and trust would have a positive impact on the adoption of smart contracts, whereas perceived risk and the clinical setting would have a negative impact on patients’ intention to adopt smart contracts. The conceptual model was tested using structural equation modeling, and the model fit indices suggested a good fit. Results: Most of the hypotheses were supported, except for the gain-loss-framing effect. As hypothesized, perceived security had the strongest positive influence on the intention to use smart contracts (=.50;

JMIR Formative Res: Acceptance of Smart Contracts in Patients Receiving Primary Care: Exploratory Study #SmartContracts #Blockchain #HealthcareInnovation #PatientCare #DigitalHealth