📣 Say hello to nGram grid Attention #pharmaceutical analysts! 👩🔬👨🔬 Tired of scattered, incomplete data? 😑 Meet nGram Grid - your AI-powered data companion! 🤖 🚀 What's in store for you: 🗒️ Comprehensive pharma datasets from drugs to clinical trials to deals (and more) ✅ Intuitive user interface ⏱️ Real-time AI data pulled from trusted sources So, are you ready to transform your #pharmadata analysis? Comment "nGram" or ping Anish Muppalaneni For an exclusive demo #PharmaInnovation #AIAnalytics #nGramGrid #pharma
ngram
Software Development
San Francisco, CA 7,357 followers
Life Sciences Data. Now Connected and Conversable.
About us
Leveraging AI to transform life sciences. We are committed to turning data into actionable insights and ensuring meaningful interactions within healthcare organizations.
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
Locations
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Primary
San Francisco, CA, US
Employees at ngram
Updates
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🔬 Exploring the Distribution of Clinical Trials by Study Type 🔬 Clinical trials are pivotal in advancing medical research and enhancing patient care. They offer essential insights into the efficacy and safety of new treatments and interventions. Here's a snapshot of our recent analysis on the distribution of clinical trials by study type: 👉🏽 Interventional Studies: - Comprise approximately 80% of the total studies. - Highlight a strong focus on testing new treatments and interventions. 👉🏽 Observational Studies: - Account for around 20% of the studies. - Aim to observe and analyze patient outcomes without intervention. 👉🏽 Observational [Patient Registry] Studies: - Represent a small subset. - Focus on collecting data from existing patient registries to understand disease patterns and treatment outcomes. 👉🏽 Missing Values: A few studies had unclassified or unknown study types, indicated by blank entries in the chart. Overall, this analysis underscores the significant role of interventional studies in driving medical advancements and the importance of observational studies in capturing real-world patient outcomes. Stay tuned for more insights as we continue to explore the evolving landscape of clinical research! 🚀📊 #clinicaltrials #clinicalresearch #clinicaltrialdata #clinicaltrialdatabase #clinicaldataresearch #AIinClinicalResearch #medicalresearch
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🔍 In the year 2024, the landscape of clinical trials saw a significant enrollment trend across different phases. 📊 Phase III Trials 529,388 participants Showcased the highest level of engagement and interest 📊 Phase II Trials 169,108 participants Demonstrated substantial involvement in mid-stage research 📊 Phase I Trials 68,180 participants Highlighted the initial phase of testing and development These numbers underscore the critical role each phase plays in advancing medical research and development. Phase III trials, in particular, stand out for their pivotal contributions to bringing groundbreaking treatments closer to reality. As we move forward, the continued growth and participation in clinical trials will be essential in driving innovation and improving patient care. #clinicaltrials #clinicalresearch #clinicaltrialdata #clinicaltrialdatabase #clinicaldataresearch #AIinClinicalResearch #medicalresearch
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This type of cancer is projected to have 310,720 new cases in 2024 👉🏽 #oncology #womenshealth
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#Oncology represents the largest segment in the #BioPharma industry, generating over $200 billion annually. Here's a quick peek at who's leading the pack after the first quarter of 2024 🚀 #PharmaData #BioPharmaData #BioPharmaMarket #PharmaIndustry
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🚀 Earlier this year, we launched MedChatQA to transform how healthcare professionals (HCPs) access drug information. We’re excited to share some major milestones: 📈 400+ Downloads: MedChatQA has been downloaded over 400 times! 🏅 Setting Standards: Our dataset aims to establish a benchmark for testing large language models in delivering accurate Q&A on real-world medical topics. 🌟 Impact-Driven: We focus on enhancing information access quality and speed for HCPs, ultimately improving patient care. 📚 Comprehensive Resource: MedChatQA dataset includes ~30,000 questions covering ~1,000 FDA-approved human prescription drugs, supporting developers of Generative AI products in the medical sector. #healthcaredata #pharmadata #datasets #medicalinformation #medicalresearch
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We've made a number of enhancements to our 🔬 clinical trials database, this week! These advancements are designed to simplify and streamline your wokflow, and also improve the depth of your searches. Take a detailed look at these updates on our blog (link in comments) 👇🏽 #clinicalresearch #clinicaltrials #medicaltrials #clinicaltrialdata #medicalresearch
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Pharmaceutical market research is evolving rapidly with AI 🤖 at the forefront. From improving R&D 🎙 efficiency to revolutionizing drug discovery 💊 and cancer treatment, AI technologies like NLP and machine learning are transforming the industry. Dive into our blog to see how our AI-driven platform offers real-time updates and automated literature reviews, providing unparalleled insights and a competitive edge 👇 https://lnkd.in/gyp8sByp #pharma #pharmaindustry #pharmaceuticalresearch #pharmamarketresearch #marketresearch #AIinLifeSciences #pharmamarket
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#Oncology data experts, are you keeping your 👀 on this #poll? #pharmaceuticalindustry #pharma #biopharma #biopharmaindustry #pharmamarket #pharmaindustry
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