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Epidemic Sound
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Elevate your content with unlimited access to our catalog of 40,000 tracks and 90,000 sound effects, without having to worry about copyright, royalties, hidden fees or takedowns.
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Beat Breeze is a background-music platform built for business venues — hotels, restaurants, cafés, retail, and wellness. Every zone gets the full royalty-free catalog of expertly curated playlists, multi-zone smart scheduling, offline playback, free team seats with per-zone permissions, TV Channels that stream music with visuals to unlimited screens, and AI voice announcements in dozens of languages. 30 AI creation credits per zone per month are included for composing original music and creating visuals. No proprietary hardware: free apps for iPhone, iPad, Android, and Windows, or any browser. Pricing is published and flat — $12 per zone per month or $120 per year — with an optional Epidemic Sound premium catalog add-on for real-artist tracks. 14-day free trial, no credit card required. Built by BMAsia Group, serving venues globally.
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Propensity US: Have Arthritis is a comprehensive dataset designed to assist healthcare professionals, researchers, and data scientists in understanding and predicting arthritis prevalence across the United States. By leveraging this dataset, users can develop predictive models, conduct epidemiological studies, and enhance public health strategies related to arthritis. Key Features and Functionality: - Extensive Data Coverage: The dataset encompasses a wide range of demographic and health-related variables, providing a holistic view of arthritis prevalence across different regions and populations. - High-Quality Data: Sourced from reputable health surveys and databases, ensuring accuracy and reliability for research and analysis. - User-Friendly Format: Structured in a manner that facilitates easy integration with various analytical tools and platforms, streamlining the data analysis process. Primary Value and Problem Solved: Propensity US: Have Arthritis addresses the need for detailed and reliable data on arthritis prevalence, enabling users to: - Develop Predictive Models: Utilize the dataset to create models that forecast arthritis trends, aiding in proactive healthcare planning and resource allocation. - Conduct Epidemiological Research: Analyze patterns and risk factors associated with arthritis, contributing to a deeper understanding of the disease and its impact on various populations. - Enhance Public Health Strategies: Inform policy decisions and intervention programs aimed at reducing the burden of arthritis through targeted prevention and treatment efforts. By providing a robust foundation for analysis, Propensity US: Have Arthritis empowers users to make data-driven decisions that can lead to improved health outcomes and more efficient healthcare services.
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Anxiety, stress, and mental health issues are growing at alarmingly high rates and organisations and their employees are increasingly seeking preventative health solutions to avoid burnout. Walking on Earth was founded in 2020 with the purpose of tackling the workplace stress epidemic. We believe that by taking a proactive and holistic approach, each employee can be empowered with the knowledge, tools and techniques to manage the negative effects of stress and reach their full potential. Our solution is to provide informational and practical training both through live sessions and on-demand through our app. We’ve developed an integrative platform offering courses delivered by world-leading experts including Ted Speakers and NYT bestselling authors, across a range of subjects focused on stress resilience - including meditation, nutrition and neuroscience. We work with businesses who have the same belief. Who understand that cultivating a work environment centered around employee health and happiness builds a more engaged, loyal and productive workforce.
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WellQuestPro is a clinician-centered longitudinal intelligence platform for licensed healthcare professionals in oncology, urology, and primary care. Unlike point-in-time clinical AI tools, WellQuestPro tracks patients across every encounter — surfacing what changed since the last visit, what has worsened over time, and what still lacks follow-up. What makes WellQuestPro different Every clinical AI platform answers the question in front of the clinician. WellQuestPro answers the questions the clinician didn't know to ask — because it remembers the last six months, not just today's chief complaint. Core capabilities Evidence-linked reasoning — Every recommendation surfaces its source: the peer-reviewed trial, the guideline version, and the patient context that triggered the flag. Citations verified against PubMed in real time. Clinicians see the evidence, not just the conclusion. Deep medication safety — Drug safety checks reflect the actual patient: eGFR, live labs, allergy history, comorbidity burden. Not a generic drug-pair lookup. Patient-specific contraindications, renal/hepatic dose adjustments, and therapeutic alternatives surface automatically. AI clinical documentation — Notes are generated from the reasoning engine, not a generic template. The note reflects the evidence, patient flags, and clinical rationale. Clinicians review and edit; AI drafts from the logic already in the session. Care gap detection — Identifies what should have happened and didn't: unresolved abnormal labs, overdue surveillance imaging, outstanding referrals, and preventive care gaps tied to diagnosis and age. Specialty depth — Oncology (NCCN-aligned, clinical evidence reviewed by Prof. Kunle Odunsi, Director, University of Chicago Comprehensive Cancer Center), urology, and primary care/internal medicine. Security & compliance HIPAA-compliant · BAA on all paid plans · AES-256 at rest · TLS 1.3 in transit · SOC 2 Type II in progress (Q3 2026) · AWS data residency · RBAC, MFA, SSO on Enterprise Pricing Five plans: $149–$499/provider/month. LMIC global access tier: $29–$79/provider/month (PPP-adjusted, 137 countries) — the only premium clinical AI platform with dedicated pricing for low- and middle-income country healthcare systems. 30-day free trial on all plans. Founded by Dr. Adebowale Awosika-Olumo, MD, MS, MPH, PhD, FACE — NCI, CDC & NIH collaborator · Fellow, American College of Epidemiology · Professor, University of Maryland Global Campus. WellQuestPro is designed to support licensed healthcare professionals and care teams. It does not replace independent clinical judgment, diagnosis, or treatment decisions.
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Simon is a human-led, post-generation AI governance layer that evaluates and conditions AI outputs before delivery to end users. Unlike model fine-tuning or guardrails embedded inside LLMs, Simon operates after a response is generated — at the human decision boundary. It does not retrain models or generate content. Instead, it applies governance controls focused on clarity, emotional alignment, epistemic restraint, and preservation of human authority. The system is model-agnostic and integrates with existing AI workflows to: Moderate tone and escalation risk Reduce overconfidence and speculative output Enforce policy and authority boundaries Provide transparent governance signals and audit metadata Simon is designed for organizations deploying AI in customer-facing, advisory, or high-stakes environments where trust, judgment, and communication integrity matter.