Precision Medicine: The 'One Person' Trial
Clinical trial design focussed on individual and not average response to therapy will reduce cost, increase productivity of drug development
Challenge:
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How can we bring precision diagnostics and therapies to market faster by reinventing the trials process? Be creative, comment on others' ideas, and help change the way that precision diagnostics and therapies get to patients.
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Clinical trial design focussed on individual and not average response to therapy will reduce cost, increase productivity of drug development
Improving patient access, selection and recruitment in precision trials without the fear/risk of compromising sensitive information
Motivating providers and leveraging the power of big data in integrated health systems to match the right patients with the right trials
A centralized EMR system with research capabilities and remote monitoring will reduce overhead costs and time to run a clinical trial
Identification & testing of patients based on precision analytics can reduce HRU and help design cheaper, faster & better precision trials.
We propose a cross-disciplinary platform that brings together researchers, clinicians, and drug companies to improve clinical trial design
A never seen BioTechnical procedure which uses nanotechnology to intercept the neuron communication between brain cells to forecast answers.
Accelerate precision medicine and productivity with clinical trial designs that yield Personal Quantitative Treatment Response Phenotypes.
Longitudinal, multi-omics, clinical/real world data combined with machine learning to enhance clinical drug development and diagnostics
Phenotype network connectivity for diagnoses by applying the Science of Individuality Measurement Algorithm to multivariate time series.
Enable real-time adaptive dosing in clinical trial for developing precision medicine
Enable patient-centric view for translating projects from discovery into successful clinical trials in the era of precision medicine
Trial length should be based on assessing a range of contextual factors and work in an accelerated 3 phase process
Collaborative research to help trial design, patient enrolment and data collection providing faster adoption of novel therapies
iDose utilizes Bayesian methodologies allowing physicians to quickly adjust individual doses to selected target concentrations or responses.
Automated clinical trial matching via chatting with an AI and integrating EMR data.
Global Cumulative Treatment Analysis saves lives & money by continuously coordinating and learning from all clinical treatment experiments.
Leveraging placebo response genetics to increase the precision and reduce the cost of clinical trials.
Facilitate off-label use of scientifically promising approved drugs to maximize survival for every cancer patient and accelerate discovery
Demonstrate drug activity in the brain by documenting changes in brain waves and oscillations that implicate key neurocircuits.
PRO Data can drive adaptive trials, improve patient safety, data integrity, reduce cost and personalize therapy to improve outcomes.