PharmDLive

Clinical pharmacists + AI. Better outcomes.

Washington, District of Columbia, United States

PharmDLive is involved in a technology integration partnership with MyMonitor.ai, an AI-powered dermatology and clinical research platform.

✓Source: HealthTech Alpha by Galen Growth

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Check out PharmDLive on @MedStartr Today PharmDLive is involved in a technology integration partnership with MyMonitor.ai, an AI-powered dermatology and clinical research platform. #Dermatology #Diabetes #Hypertension #RespiratoryDiseases #MentalBehavioralHealth #CardiovascularDisease #PrecisionMedicineDiagnostics #MedMo #MedStartrVentures

https://www.medstartr.ai/s/FJTRjnHd76g

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Problem Statement

Traditional methods for dermatological lesion detection can be slow or lack consistent accuracy, particularly across diverse skin types.

Core Technology

AI and Multispectral Imaging

Key Differentiators

Achieves κ > 0.90 agreement with board-certified dermatologists, exceeding clinical validation standards; Processes skin analysis in under 5 seconds using multispectral imaging technology; Melanin-aware lesion detection

Clinical Focus

Lesion Detection; Clinical Research

Company Info

Business Model: SaaS
Founded: 2017
Total Funding: Only accessible to MedStartr community members. Join now
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Website: pharmdlive.com/

Disease Areas

Dermatology Diabetes Hypertension Respiratory Diseases Mental Health Cardiovascular Disease

Technologies

Multispectral ImagingTelehealth & TelemedicineDigital HealthPharmacyMedication ManagementVirtual CareAI & Machine Learning

Clinical & IP

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Clinical Validation

Case study: 3,233 heart failure ED visits showed 11.2% reduction in avoidable admissions, $3.35M cost savings annually. Platform targets 88 MIPS/APM quality measures, ACO/HEDIS standards. Evidence-based interventions per diabetes prevention protocols.

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MedStartr Engagement Score

The MedStartr Index is a reflection of how the crowds that come to MedStartr everyday to find healthcare innovations reacted. Calculated by our AI agent Fyggy based on algorithms we have been building since 2012 and over 100 different factors, the math is proprietary and complex. Suffice to say, it has been found to be highly correlative with early stage company growth. What you see here is the public version. To learn more or to get deeper access to our predictive data on startup success for your fund or company, click here.

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