We are excited to announce our participation at the UX for Life Sciences Conference 2024 at the Novartis Campus, Basel! This conference will cover several key areas that highlight the intersection of user experience (UX) with cutting-edge technologies in the life sciences, particularly focusing on Generative AI (GenAI) and machine learning (ML). We are thrilled to be a part of this immersive learning experience, sharing insights and continuously contributing to the advancement of AI and ML integration in life sciences R&D. Elucidata #LifeSciences #DataCuration #Elucidata #GenAI #MachineLearning #DataHarmonization #Datasets #DrugDiscovery #DrugDevelopment #AI #ArtificialIntelligence #ResearchandDevelopment #Novartis
Elucidata
Software Development
San Francisco, California 58,986 followers
Delivering ML-ready biomedical molecular data.
About us
Recognized as the 'Most Innovative Biotech Company, 2024', by Fast Company! Even today Early R&D, Precision Diagnostics and Translational Biomarker teams spend about 80% of their time wrangling data. Elucidata's mission is to empower scientists in the life sciences field by reclaiming every valuable hour for their research endeavors. Elucidata’s data harmonization platform - Polly, helps research teams make multi-modal biomedical data Machine Learning ready. Each dataset on Polly is processed consistently using pipelines of your choice, is custom curated with granular annotations and undergoes robust QA/QC checks to ensure highest data quality standards. Polly transforms multi-modal and multi-source biomedical data (Omics, Assay, Real World Data, Clinical & EHR Data, and CRO data) into a Unified Data Model. With our 10X faster LLM-powered curation and human-in-the-loop model to achieve 99.99% accuracy, we are fast-tracking time to analysis. Today, Polly is facilitating use case like patient stratification, biomarker discovery, target ID & validation, data management, and development of clinical and commercial pipelines across Pfizer, Janssen Pharmaceuticals, NextGen Jane and IMBDx and over 35 premier biopharma companies and research labs. Head-quarted in San Francisco, we are a 120 multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads and F-Prime along with our existing investors Hyperplane and IvyCap. Write to us at [email protected] for queries To talk to us, visit: https://www.elucidata.io/book-a-meeting For more information, visit: https://www.elucidata.io/ Visit Our Offices - San Francisco Head Quarters: 114 Sansome Street, Suite 250 San Francisco, CA 94104 Boston Office: 625 Massachusetts Avenue Cambridge, MA 02139 R&D Hubs, India - Delhi and Bangalore
- Website
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http://elucidata.io
External link for Elucidata
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Machine Learning, Automated Curation, Life Sciences, FAIR Data, Drug Discovery, Analytical Pipelines, Bioinformatics, Drug Targets, Biomedical Data, Single Cell Data, Bulk RNA-Seq Data, Generative AI, Biomedical Data, Proteomics Data, Bioassay, Bulk RNA-Seq Data, Precision Medicine Diagnostics, Translational Biomarker Discovery, Early Stage R&D, Multi-omics Data, Clinical Data, and RWE Data
Products
![Click here to view Polly by Elucidata]()
Polly by Elucidata
Data Science & Machine Learning Platforms
Elucidata's cutting-edge biomedical data platform, Polly, operates on unique Bio-NLP technology that cleans and links bulk RNA-seq and single-cell data, along with 24 other data types, and caters to companies in various stages of their drug discovery process. The platform helps data science teams to scale up by providing them 115 TB of ML-ready biomedical data, from 30 public and proprietary sources. Today around 35 biopharma companies, including 2 of the top ten pharma companies, are using Polly to fast track their R&D initiatives.
Locations
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Primary
Get directions
114 Sansome St
Suite 250
San Francisco, California 94104, US
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Get directions
625 Massachusetts Ave
Cambridge, Massachusetts 02139, US
Employees at Elucidata
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Venkat Tadanki
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Peter Grant
SaaS Go-To-Market Strategy Advisor & CRO | Help Founders & CROs Grow Revenue Faster (Siebel:Salesforce:C3)
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Naimish Patel
Founder, Investor, Board Member
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Neychelle Fernandes, PhD, MBA
Product Management and Sales Leader I AI ML | Health tech | Medical Device
Updates
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We’re thrilled to share that we will be exhibiting at BioTechX Europe—Europe’s largest event for pharmaceutical development and healthcare innovation! 📍 Visit us at Booth #906 to discover how our data-driven insights are accelerating biomedical breakthroughs. 🎤 Mark your calendar for a must-attend talk by our Co-founder & CTO, Swetabh Pathak! He’ll be delivering transformative insights on: "Scaling AI-Ready Data Products in Biopharma R&D: The What, Why, and How?" 🗓️ October 10th, 2024 (Day 2) ⏰ 2:50 PM CEST 📍 Messe Basel, Switzerland Secure your spot and find more details! 👉 https://lnkd.in/gd6rWFzc Register now to meet with our team, attend the talk, and explore how we can accelerate your data-driven research. Don’t miss this chance to connect with us and fast-track biomedical breakthroughs! We can’t wait to see you at BioTechX! . . . #BiotechXEurope #BiotechInnovation #LifeSciences #Elucidata #Conferences2024 #AI #ML #Metadata #Datacuration #DataHarmonization #Omics
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🔬 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐊𝐞𝐲 𝐏𝐫𝐨𝐭𝐞𝐨𝐦𝐢𝐜𝐬 𝐃𝐚𝐭𝐚𝐬𝐞𝐭𝐬 𝐟𝐨𝐫 𝐇𝐮𝐦𝐚𝐧 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 & 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 🧬 Ever wonder which proteomics datasets are driving breakthroughs in human biology and disease research? 🤔 In our latest blog, Shreyasi Chandra does a fantastic job of curating a list of the most significant proteomics datasets, empowering life sciences researchers to uncover insights at the protein level. 🎊 📍Dataset 1 focuses on proteomic changes in failing human hearts, shedding light on how significant increase in cytoskeletal protein level contributes to heart failure. This data has unveiled potential therapeutic targets for improving cardiac function—particularly targeting detyrosinated microtubules presents a novel therapeutic strategy. 📍Dataset 2 offers an extensive proteome and transcriptome atlas across 29 healthy human tissues. This dataset provides unparalleled insights into tissue-specific protein expression and the complex relationship between mRNA and protein levels, opening new doors for biomarker discovery and drug target validation. Head over to the blog to get the full scoop on these powerful resources for your next research project- https://bit.ly/3XwVEmH Get in touch with us at [email protected] or click on the link in comments.
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𝐄𝐥𝐮𝐜𝐢𝐝𝐚𝐭𝐚 𝐚𝐭 𝐁𝐢𝐨𝐭𝐞𝐜𝐡𝐗! 🎈 Join Swetabh Pathak and Shruti Malavade, at the BioTechX conference today at the Pennsylvania Convention Center in Philadelphia, to talk all things data. They’ll be hanging out at 𝐁𝐨𝐨𝐭𝐡 #209, and they’ve got some exciting innovations in store for you! 🚀 📊 Learn how we’re tackling the challenges of data harmonization and simplifying the process of building data products for AI. 👉 Stop by for a chat, a demo, very cool swag, or maybe even a high-five! 🙌 See you! 💁♂️ #biotechx #drugdiscovery
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Meet us at booth #209, at the Pennsylvania Convention Center in Philadelphia! BioTechX here we come! 💁♀️
Almost missed my train for Philadelphia this morning! But now that I am on it, look forward to meeting people at BiotechX. Shruti Malavade and I am also giving a talk at 250 PM on how enterprises can create large scale data products to leverage AI. Drop by if it interests you. We promise to not be boring. #biotechx
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Interested in Scaling AI-Ready Data Products in Biopharma R&D? 𝐌𝐞𝐞𝐭 𝐔𝐬 𝐚𝐭 BioTechX 𝐔𝐒𝐀! 📍 Join our Co-founder & CTO Swetabh Pathak in his talk titled- ‘𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐀𝐈-𝐑𝐞𝐚𝐝𝐲 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐢𝐧 𝐁𝐢𝐨𝐩𝐡𝐚𝐫𝐦𝐚 𝐑&𝐃: 𝐓𝐡𝐞 𝐖𝐡𝐚𝐭, 𝐖𝐡𝐲, 𝐚𝐧𝐝 𝐇𝐨𝐰’ on 𝐓𝐮𝐞𝐬𝐝𝐚𝐲, 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 17, 2024 | 2:50 𝐏𝐌 𝐭𝐨 3:10 𝐏𝐌 | Track: Data Management, Storage and Architecture. Or drop by our booth #209 for a 1:1 meeting with our experts. Book a meeting here- https://bit.ly/3ZmmxfO
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Webinar: 𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐒𝐢𝐧𝐠𝐥𝐞-𝐜𝐞𝐥𝐥 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, is now live! Tune in now to discover how uniform processing and metadata curation can help you unlock consistent AI-ready single-cell data. 👩💻 Join here- https://bit.ly/3BaCoDX #singlecell #deeplearning #webinar
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📍𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐒𝐢𝐧𝐠𝐥𝐞-𝐜𝐞𝐥𝐥 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 | 𝐖𝐞𝐛𝐢𝐧𝐚𝐫 𝐀𝐥𝐞𝐫𝐭 Join us tomorrow for an insightful webinar with Krutika Satish Gaonkar - Bioinformatics Manager & Solutions Architect at Elucidata, who will elucidate how to re-analyze #singlecell data to produce biologically informed, high-quality #AI-ready datasets. 🎙 Krutika will also share insights on how to mitigate the confounding factors that arise when integrating datasets from diverse sources and ensure your data is robust and reliable for downstream applications. 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐄𝐱𝐩𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐖𝐞𝐛𝐢𝐧𝐚𝐫: ✅ 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 𝐒𝐢𝐧𝐠𝐥𝐞-𝐂𝐞𝐥𝐥 𝐃𝐚𝐭𝐚: Exploring how deep learning models (such as neural networks) are used to analyze single-cell data, including tasks like cell type classification, trajectory analysis, and feature extraction. ✅ 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐭𝐨 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐒𝐢𝐧𝐠𝐥𝐞-𝐜𝐞𝐥𝐥 𝐃𝐚𝐭𝐚𝐬𝐞𝐭𝐬: Insights into how biologically relevant curated single-cell data may improve #deeplearning models' performance. ✅ 𝐂𝐚𝐬𝐞-𝐬𝐭𝐮𝐝𝐢𝐞𝐬 & 𝐔𝐬𝐞-𝐜𝐚𝐬𝐞𝐬: Internal learning and case-studies to showcase how a biology-centric approach is beneficial in developing deep learning models. 𝐖𝐡𝐞𝐧: 12𝐭𝐡 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫, 2024 | 11𝐀𝐌 𝐏𝐒𝐓 / 2𝐏𝐌 𝐄𝐒𝐓 Register from the link in the comments and stay tuned for more details!
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📍𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐒𝐢𝐧𝐠𝐥𝐞-𝐜𝐞𝐥𝐥 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 | 𝐖𝐞𝐛𝐢𝐧𝐚𝐫 𝐀𝐥𝐞𝐫𝐭 #Singlecell data is popular for its cell-level resolution and diverse applications, including cell-type annotation and cell trajectory analysis to study development, disease mechanisms, and treatment effects. While large consortiums provide processed data with some #metadatacuration; different studies using processing pipelines, references, and batch correction methods add confounding factors in the downstream use cases. Moreover, biological variation and knowledge bases are often missing, limiting the ability to enrich analyses with biological context. 🎙️ Join Krutika Satish Gaonkar- Bioinformatics Manager and Solutions Architect at Elucidata, for the must-attend webinar: "𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐒𝐢𝐧𝐠𝐥𝐞-𝐜𝐞𝐥𝐥 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠" where she will be showcasing insights from published literature & internal work that support the re-analysis of single-cell data to have consistent, biologically informed high-quality AI-ready datasets. 👩💻 𝐖𝐡𝐞𝐧: 12𝐭𝐡 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫, 2024 | 11𝐀𝐌 𝐏𝐒𝐓 / 2𝐏𝐌 𝐄𝐒𝐓 Register from the link in the comments and stay tuned for more details!
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