Logica
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About
Logica is an AI-driven drug discovery platform formed by Charles River and Valo Health. It integrates scientific excellence with AI-driven technology to revolutionize the drug discovery process, from early-stage discovery to preclinical candidates. Logica combines wet lab data generation platforms with machine learning chemical design technology. Logica-AL delivers an advanceable lead series, while Logica-C accelerates progress by delivering a drug candidate ready for GLP toxicology evaluation. It aims to reduce drug discovery timelines and provide certainty through risk-sharing and value-anchored structures.
Platform
Task
Features
• in vitro and in vivo models and thousands of computational predictive models
• virtual advanceability assessment
• risk-sharing model
• dna-encoded libraries (dels) to exponentially diversify the chemical space
• access to virtual and physical high-throughput libraries for efficient screening
• human insights that drive expert decision making
• predictable outcomes through experimental expertise
• ai/ml to accelerate innovation
FAQs
What is Logica®?
Logica is a joint product offered by Charles River and Valo Health that aims to develop a small molecule product against a given target according to your specifications.
How do clients work with Logica?
Unlike traditional service-based offerings provided by CROs, Logica is delivered as a drug discovery platform intended to result in a preclinical candidate in two parts: Logica-AL (Advanceable Lead) and Logica-C (Candidate).
What can the AI-powered drug solutions Logica-AL® and Logica-C® do for me?
Logica combines world-class wet lab data generation platforms with best-in-class machine learning chemical design technology aimed to deliver better leads, for better drugs.
Am I obligated to start Logica-C?
We recommend considering the advantages of continuing to Logica-C for a comprehensive drug development journey. However, it’s your choice, and Logica-AL and Logica-C are flexible enough to meet your requirements independently.
Do discussions with Logica only begin when you have a validated target?
No. All types of clients can be engaged in the Logica discussion. Whether you have a validated target, a target that needs validation, or an ongoing lead program, we can help:
What about clients who feel unsure about AI?
Logica’s business model internalizes the risk of applying AI to drug discovery. It is a full-service drug discovery product that integrates the best capabilities, both experimental- and machine learning (ML)-based.
How is Logica different from traditional CRO services?
Unlike traditional AI solutions and machine learning solutions, Logica is a truly integrated drug discovery offering focused on value generation and delivering assets rather than a-la-carte services.
What are the deliverables?
Logica has two deliverables: Logica-AL and Logica-C. 1. Logica-AL deliverables are an advanceable lead series and backup, consisting of multiple compounds that meet the initial criteria agreed upon during SOW creation. 2. The second deliverable is a drug candidate, called Logica-C, which will be the molecule we propose moving into GLP toxicology/IND-enabling studies/program.
How is AI-powered drug discovery changing what’s possible for our industry space?
AI-powered drug discovery revolutionizes our industry by integrating cutting-edge technology with decades of expertise. It is designed to accelerate target-to-candidate timelines, enhance hit identification, and maximize success rates.
What process improvements can you expect from AI-powered drug discovery over traditional methods?
AI-powered drug discovery strives to streamline the process by rapidly sifting through vast amounts of data, generating predictive models, and identifying promising leads.
How does having access to both AI-powered drug discovery and laboratory services at a single CRO partner facilitate faster, more successful outcomes?
Integrating AI and laboratory services under one roof is intended to empower us to swiftly translate targets into viable candidates. Seamless collaboration between AI-driven design and wet lab expertise eliminates gaps, accelerates decision making, and reduces risks.
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