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Digital Health & Ai Innovation summit 2026
APE 2026

Knowledge Bank

New York Funds $300m to Modernize Hospital IT Infrastructure

The state of New York plans to invest $300 million in its endeavors to modernize hospital IT infrastructure, make the cybersecurity robust, and also widen...

Real-Time Data Analytics from Connected Devices

Learn how continuous data streams from connected healthcare devices are transforming clinical practice through real-time analytics and actionable insights. Discover how clinicians leverage this continuous information flow to make timely decisions, enable preventive interventions, and personalize patient care based on comprehensive, current health data.

Wearable Sensors Driving Preventive Healthcare

Discover how advanced wearable sensor technology enables continuous health monitoring and early detection of warning signals. Learn how these devices empower both healthy individuals and at-risk populations to adopt proactive wellness approaches while supporting clinicians in preventive interventions before conditions become serious.

Utilizing Real-World Evidence to Improve Trial Outcomes

Real-world evidence represents clinical data collected outside traditional controlled trial environments, derived from sources including electronic health records, insurance claims databases, disease registries, wearable devices, and patient-reported outcomes.

Remote and Decentralized Clinical Research Solutions

Decentralized clinical trials are fundamentally transforming the pharmaceutical research landscape by replacing traditional site-centric study models with remote, patient-centric approaches where participants engage with research activities from their homes or nearby healthcare facilities.

Innovative Strategies for Adaptive Clinical Trials

Adaptive clinical trials represent a revolutionary departure from traditional rigidly-designed study protocols by incorporating flexibility that allows trial parameters to adjust in real-time based on accumulating data and emerging evidence.

Predictive Modeling AI-Driven Early-Stage Drug Research

Discover how AI-driven predictive models are transforming early-stage pharmaceutical development by forecasting pharmacokinetics, toxicity, and drug efficacy. Learn how these advanced analytical tools guide safer, faster drug development decisions while reducing costly failures in clinical trials.

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