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Quick Filters: Reset Generative AI Supply Chain
Found 551 verified outcomes
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Healthcare & Life Sciences verified Verified

AI Drug Design (Small Molecule)

Traditional drug discovery is a slow, stochastic process of trial and error. Identifying a viable candidate typically takes 4-5 years before clinical trials can begin.

domain Exscientia public Global
Key Outcome Accelerated 'hit-to-lead' timeline Primary Impact View Case
Healthcare & Life Sciences verified Verified

Cloud Migration for Healthcare Resilience

Maintaining massive on-premise data centers was becoming cost-prohibitive and hindered the adoption of modern cloud-native AI tools. Resilience and cybersecurity were also growing concerns.

domain Microsoft Azure public Global
Key Outcome Enhanced disaster recovery capabilities Primary Impact View Case
Healthcare & Life Sciences verified Verified

Population Genomics Program

Most genetic testing was reactive (post-diagnosis). The system wanted to identify patients with hidden risks (e.g., BRCA, Lynch syndrome) before disease onset to enable preventative care.

domain Helix public Global
Key Outcome Target: 500,000 participants Primary Impact View Case
Healthcare & Life Sciences verified Verified

Virtual Reality Surgical Training

Training surgeons on new implants traditionally required travel to physical labs and the use of cadavers, which was expensive, scarce, and difficult to scale globally.

domain Osso VR public Global
Key Outcome 230% improvement in surgical performance (validation study) Primary Impact View Case
Healthcare & Life Sciences verified Verified

Autonomous Medical Coding (AI)

Medical coding shortages and human error led to high denial rates and delayed billing. Radiology and pathology departments generated high volumes of repetitive charts that consumed disproportionate staff time.

domain CodaMetrix public Global
Key Outcome 60% reduction in coding costs Primary Impact View Case
Public Health verified Verified

Federated Data Platform for National Health

The COVID-19 vaccine rollout required precise supply chain orchestration. Post-pandemic, the service faced a record backlog of elective surgeries with no unified view of capacity across regional trusts.

domain Palantir Foundry public Global
Key Outcome Managed rollout of >100 million vaccine doses Primary Impact View Case
Healthcare & Life Sciences verified Verified

Real-Time Sepsis Prediction (SPOT)

Sepsis is a leading cause of hospital mortality. Traditional detection relied on manual nurse screening or lagging indicators, meaning interventions often occurred too late to save the patient.

domain Internal Development / Red Hat public Global
Key Outcome Detects sepsis ~18 hours before clinical decline Primary Impact View Case
Diagnostics verified Verified

Digital Pathology & AI Diagnostics

Rising cancer case volumes and a shortage of pathologists created a diagnostic backlog. Physical glass slide shipping was slow and prevented second opinions.

domain Philips / Ibex Medical Analytics public Global
Key Outcome 100% digitization of slides Primary Impact View Case
Healthcare & Life Sciences verified Verified

RFID Asset Tracking

Nurses spent significant time searching for IV pumps and wheelchairs. To ensure availability, departments would 'hoard' equipment, leading to perceived shortages and unnecessary rental costs.

domain Impinj / Stanley Healthcare public Global
Key Outcome Tracked >12,000 mobile assets Primary Impact View Case
Health Insurance verified Verified

Interoperability & Longitudinal Records

Member health history was fragmented across claims, EHRs, and HIEs. The payer lacked a timely view of member health, leading to delayed authorizations and gaps in care.

domain Google Cloud Healthcare API public Global
Key Outcome Ingested 2.5 PB of data Primary Impact View Case
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