Are You Drowning in Biomedical Data? Cut Through the Noise with Elucidata's Scalable Solutions- ? Cut costs by 50% ? Accelerate research timelines by up to 4x? ? 2x Faster Sample-to-Report Times Learn how to overcome the biomedical data dilemma in our latest article: "Scalable Biomedical Data Solutions: Connecting Discovery to Development" Unlock expert insights on: > How to tackle data challenges head-on > The power of cloud-native architectures > Strategies for seamless collaboration Get ahead of the curve and accelerate your sample-to-report times and much more with our proprietary platform- Polly! Read the full blog here: https://lnkd.in/gfRJkYE2 #BiomedicalResearch #DataSolutions #Innovation #ResearchEfficiency #ScalableSolutions #LifeSciences #Healthcare
Elucidata
软件开发
San Francisco,California 65,288 位关注者
Making data AI-Ready to advance Biomedical R&D
关于我们
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
- 网站
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https://elucidata.io
Elucidata的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2015
- 领域
- 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和RWE Data
产品
Polly by Elucidata
数据科学与机器学习平台
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.
地点
Elucidata员工
动态
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What if you could turn data chaos into groundbreaking medical insights in just a few clicks? ?? We're not just talking about data management—we're advancing how researchers and healthcare professionals unlock hidden potential in their research. Curious how we're doing it? ?? Take a look into our game-changing approach → https://lnkd.in/gBmnYZSs The others have done it. So can you! . . #Healthcare #HealthcareInnovation #DataScience #PrecisionMedicine #AI #ML #Dataanalysis #DataManagement #BiomedicalResearch
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Did you know that for every 7th dataset deposited in GEO, one gets reused? ?? Here's how advanced data management is revolutionizing drug discovery: Novartis reduced clinical data discrepancies from 30,000 to 8,000 using their Nerve Live platform ?? Pfizer's new data platform cut processing time by 4x and saves 19,000 hours annually ?? AstraZeneca's cloud platform now supports 70% of their small molecule projects ?? The shift from traditional to advanced data management isn't just about better organization - it's transforming how we discover life-saving drugs. From AI-driven insights to real-time analytics, the future of drug development is data-driven. Curious about how these pharma giants are leveraging data to accelerate drug discovery? Read the full blog to discover: Why traditional data management is holding back innovation How cloud computing and AI are reshaping the industry What's next for data management in drug development Click here : https://lnkd.in/gmigxzgR Get ready to transform your drug discovery pipeline with insights on: Breaking down data silos Leveraging AI and cloud computing Future-proofing your research infrastructure #DrugDiscovery #DataScience #Pharma #Innovation #Healthcare #BigData #AI
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Have you registered yet? Join us for an exclusive webinar on: "Building AI-Enabled Curation Infrastructures for Biomedical R&D: Lessons from the Field" November 19, 2024 Time: 11 AM PST / 2 PM EST By: Jainik Dedhia & Shubhra Agrawal Register here: https://lnkd.in/ejpwrsCG We'll Unveil: > The architecture behind AI-enabled curation that actually works > How to integrate LLMs while maintaining scientific rigor > Real-world implementation stories (including the failures that taught us the most) > Practical strategies for transforming your data infrastructure Bring your toughest data challenges to the webinar—we love a good problem-solving session. See you there! #webinar2024 #LLM #AI #ML #datacuration #datamanagement #biomedicalresearch
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We recently partnered with a leading pharmaceutical company to address a critical challenge in their research workflow: enabling sophisticated querying of complex multi-modal data without requiring extensive coding expertise. Technical Implementation Highlights: 1. Advanced Data Harmonization Architecture :: Implementation of proprietary harmonization engine for multi-modal data integration :: Comprehensive vector-based indexing system optimized for biological data :: Integration of domain-specific embedding models for enhanced contextual understanding 2. RAG System Optimization :: Custom-built retrieval augmentation pipeline incorporating biological context :: Advanced intent understanding framework for complex scientific queries :: Integration with downstream bioinformatics tools including volcano plots and pathway analysis 3. Performance Metrics :: 2X improvement in information retrieval accuracy :: 5X acceleration in insight generation :: $100K annual reduction in infrastructure overhead :: Transition from 24-hour processing to real-time analysis Read the complete case study here -> https://lnkd.in/gGHgu2Ct Want to join our upcoming webinar on "Building AI-Enabled Curation Infrastructures for Biomedical R&D: Lessons from the field" 19 November, Check out the comment section for the link to register! ....................... #AI #ML #LLM #Lifesciences #biomedical #researchanddevelopment #drugdiscovery #drugdevelopment #dataanalysis #datascience
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Our Co-founder & CTO, Swetabh Pathak, will be attending the SLAS 2024 Data Science and AI Symposium organised by SLAS (Society for Laboratory Automation and Screening from 12-13 November at Cambridge, MA. This prestigious event will bring together industry experts to discuss and showcase the latest developments and breakthroughs in AI/machine learning, generative AI, image analytics, various omics data types, and other areas of data science. If you’re attending the event, let’s meet and explore how these innovative technologies are driving laboratory automation and enabling scientists to elevate their drug discovery research. You can leave a comment or write to us at [email protected] to fix a meeting with Swetabh! ............................................... #SLAS2024 #AI #ML #Healthcare #Drugdiscovery #DataScience #Automation #Dataanalysis
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Join us on November 19, 2024, at 11 AM PST / 2 PM EST for a live webinar with Jainik Dedhia and Shubhra Agrawal as they dive into building AI-enabled infrastructures for effective data curation in biomedical research. ?? Key highlights: ?? Leveraging LLMs with human-in-the-loop for High-Quality data products ?? How AI-driven text queries enhance data accessibility ?? Best practices for navigating complex, multimodal datasets Register now to reserve your spot. https://lnkd.in/ejpwrsCG Don’t miss this chance to gain insights that can elevate your R&D data strategy! #Webinar #BiomedicalData #AI #DataCuration #LLM #ResearchInnovation #LifeSciences
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In collaboration with a leading AI biotech company, our team delivered consistently processed bulk RNA-seq data 9x faster and at 5x lower cost—leading to $1.4M in savings! ?? By deploying a custom STAR pipeline, we enabled seamless integration of public and in-house data, ensuring high-quality, high-throughput data essential for training #ML models. ??? Curious how we were able to achieve these results? Download the case study here: https://lnkd.in/gw8yCi3y Discover how streamlined data processing can drive impactful results for your team. Reach out to learn more! Drop an email at [email protected] or visit our website www.elucidata.io #AIinhealthcare #ML #Dataprocessing #DataAnalysis #Pharma #Biotech #Researchanddevelopment #STARpipeline
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?? Facing challenges in identifying and validating drug targets? You're not alone! Identifying and validating drug targets is crucial for effective drug development. Challenges such as validating public datasets and ensuring specificity and accuracy can hinder progress. Let’s tackle these challenges together! Share your thoughts below. Curious about how we can help streamline your target identification process? Check out our Target Identification Solutions Page! ?? https://lnkd.in/gMiaj6WN Connect with us at [email protected] to talk to our experts! . . . #drugdevelopment #biomedicalresearch #datavalidation #drugdiscovery #machinelearning #aiinhealthcare
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"Don't assume your data is secure just because you haven't been breached... yet." Discover the hidden risks and expert solutions to safeguard sensitive healthcare data. Did you know: 85% of healthcare organizations have experienced a data breach 51% of breaches are caused by insider threats Stay ahead of potential data breaches and cyber threats. [https://lnkd.in/gVfKYfug] Our latest blog reveals: ? Top data security risks in healthcare ? Best practices for data encryption and access control ? Role of AI and machine learning in data security ? Benefits of cloud-based security solutions Explore the expert insights: https://lnkd.in/gVfKYfug Secure Your Data, Secure Patient Trust! . . #DataSecurity #HealthcareInnovation #RiskManagement #CyberSecurity #DataProtection #EHR #Patientrecord #Datacompliance