
Introducing Altimetrik’s Digital Business Academy
Introducing Altimetrik’s Digital Business Academy Cultivating the next generation of Digital Business Practitioners In the ever-evolving realm of modern business, the transition to a seamless
Introducing Altimetrik’s Digital Business Academy Cultivating the next generation of Digital Business Practitioners In the ever-evolving realm of modern business, the transition to a seamless
Through this Academy, Altimetrik aims to enable enterprises to create culture and talent capability to effectively adopt the Digital Business
Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs. | Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify. |
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety. | Supplement trial data with real-world insights for drug effectiveness and safety. |
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies. | Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies. |
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing. | Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing. |
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development. | Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development |
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation. | Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits |
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention. | Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention |
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals. | Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals |
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment. | Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment |
Data Standardization and Interoperability: Ensure seamless data exchange among research sites. | Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis |
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis. | Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process |
R&D Investments: Improve the drug or expand indications | Utilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes |
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