@snaga13 This reframes how we think about cancer.
It is not just about having the right mutation in the right cell type. It is also about a cell's prior experiences.
In short, a cell’s history, written into its epigenome, can shape how disease unfolds.
✨ Unearthing the Gold Dust of Mechanistic Insight With Deep Tech✨
🧪 We show this in our recently published ACS @JCIM_JCTC paper, elucidating the mechanistic basis by which Siponimod, a drug for #multiplesclerosis (MS), avoids off-target activation.
https://t.co/IBEoF7inQW
Meet @MadhuraMohole and Raj Kumar Chakraborty at the #Peptides & Complex Generics Symposium to see how Agentic & Generative #AI along with molecular simulations are accelerating Target elucidation, #LNP engineering and more for peptides & other complex biological therapeutics.
🚀 What this unlocks
With tools like #Igniva, researchers can:
Spend less time wrangling data
Focus more on hypothesis generation
Combine cross-domain insights faster than ever before
🤝 A Collaborative Agentic Workflow
We aren't claiming the problem is "solved" by #AI. Instead, we show how #AgenticAI can:
⚡Accelerate expert workflows
🧬Integrate insights across domains
🤖Support true scientific collaboration
🎥 What does the demo show?
#Igniva analyzes how a genetic variant affects a phenotype of interest—just like an expert genomicist would, collaborating with bioinformaticians.
All powered by #AI agents.
🔍 What is Igniva?
#Igniva extends #LLMs like Sonnet, Gemini & ChatGPT with:
📚Authoritative scientific datasets
🔧Research tools & APIs
🧪Scientific reasoning methods
Purpose-built for drug discovery & translational science.
🌐 Why now?
Last week's announcements from Anthropic, Google & Microsoft showed the power of #AgenticAI. We're now bringing that power into #Biopharma R&D contexts.
Here's how. 🧵👇
🧬 Excited to share a glimpse into the future of #Biopharma R&D with Aganitha #Igniva#AgenticAI Demo
Igniva is our suite of research agents that integrate #LLMs with scientific data, tools & workflows to tackle complex problems like variant effect analysis.
Meet us at "Recent Advances in Modeling Rare Events (RARE) 2025" conference this week, to see how #AI and enhanced #MD are transforming #biopharma R&D.
What can #AI do for your #organoid studies? Model development, validation, disease modeling, drug efficacy testing, toxicity evaluation & more.
Know more at https://t.co/7B7Mxg7V00
At @IGIBSocial today, sharing with fellow genomics researchers, our work at https://t.co/kuQkDWae99 bridging #DeepScience and #DeepTech to accelerate disease research, therapeutic design and clinical affairs.
Medical Chart Review with #LLM
LLMs are not only enabling faster and more accurate extraction of structured data from unstructured clinical notes but also expanding the type and scope of information that can be extracted.
See https://t.co/TjbF2uiJ1U for examples.
#WorldBrainDay brings focus onto brain disorders, a major source of suffering globally.
Collaboration is a key theme for WBD 2024 - urging researchers to come together, advance understanding of disease mechanisms & accelerate discovery of therapies.
https://t.co/4Rvm8g3YYl
🔬 Unlock the Power of #LLM in #Biopharma with Aganitha’s ARC™ Framework
1. Auto-analyze #Omics datasets
2. Discover novel drug targets & biomarkers
3. Generate & review regulatory submissions & contracts
4. Reduce hallucinations
See https://t.co/ctxUyDEJVZ
Demos in 🧵
Excited to announce Aganitha’s collaboration with @ccmb_csir to apply Generative AI solutions for designing novel therapeutics and research antibodies addressing needs in multiple disease areas.
More details at https://t.co/UCaIIVWIiY