Pharma Focus Europe’s Post

Opyl is proud to partner with Commercial Eyes Pty Ltd, a respected consultancy in life sciences, to support their clients with AI-powered market research and competitive intelligence, using the TrialKey platform. As part of ProductLife Group, Commercial Eyes brings a global network and deep expertise in pharmaceutical and medtech commercialisation. Together, we’ll empower their clients with strategic insights and data-driven solutions, improving the success of clinical trials and market positioning. Tanya van der Wall, Country Managing Director at Commercial Eyes commented: “We are excited to collaborate with Opyl and leverage their advanced AI capabilities to enhance the innovative data driven insights we provide to our clients. This partnership also aligns with our global AI strategy to co-create innovative AI enabled solutions with our own dedicated best in class expertise and tools and the right partners. The insights gained through Opyl's platform will enhance our ability to guide our clients through complex market landscapes and position them for success and most importantly, to enable better and faster access for patients to life saving and life changing therapies” Book a TrialKey demo:https://appt.link/minhthu Marketing & Investor Enquiries: bernice@trialkey.ai #marketresearch #biotech #pharmaceuticals #pharma #medtech #lifesciences #clinicaltrials #medicaldevices

#Axonal.AI Accelerates Pharma Market Entry with New Platform Axonal.AI has unveiled an innovative platform designed to significantly speed up time-to-market for the life sciences industry. Tailored for the pharmaceutical sector, this new technology promises to streamline the path from product approval to market launch. By leveraging their Agentic AI Collaborative Workspace, Axonal.AI aims to reduce the complexities of commercialization by integrating market insights, regulatory compliance, and patient engagement into a cohesive, efficient process. #AxonalAI #PharmaceuticalInnovation CEO Larry Mickelberg emphasizes that Axonal.AI transforms the market landscape, turning complexity into clarity and enabling rapid strategic adjustments. As the pharmaceutical industry faces challenges like rising operational costs and stringent regulations, Axonal.AI provides an edge by enhancing decision-making and adapting to market demand with real-time intelligence and predictive analytics. Do you think AI platforms like Axonal.AI will redefine the pharmaceutical industry’s approach to market entry? #LifeSciences #Saasverse

𝗖𝗼𝗺𝗺𝗼𝗻 𝘁𝗵𝗲𝗺𝗲𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗼𝘂𝘁 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗣𝗵𝗮𝗿𝗺𝗮 𝗩𝗖 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀: 🔎 𝗗𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘀𝗲𝗱 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗧𝗿𝗶𝗮𝗹𝘀 (𝗗𝗖𝗧𝘀): Widely adopted in the pharmaceutical industry Market projected to reach $10.58 billion by 2028, growing at 15.25% CAGR (2022-2028) 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗗𝗮𝘁𝗮 (𝗥𝗪𝗗): Increasingly used in drug development for trial enrolment, study design, and uncovering patient/drug interactions Nearly half of life sciences organisations aren't fully leveraging RWD Market expected to be worth $2.3 billion by 2026 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗧𝗿𝗶𝗮𝗹 𝗗𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: Efforts to improve diversity and health equity in trials FDA requires diversity plans for Phase III trials Industry investing in digital communities and addressing social determinants of health 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜) 𝗶𝗻 𝗣𝗵𝗮𝗿𝗺𝗮: Healthcare AI market projected to be worth $188 billion by 2030 Used for specific tasks, generating new data, decision-making support, and - autonomous clinical decisions Positive impact on drug development, clinical trials, and personalised medicine #VentureCapital #PharmaInvestment #PharmaThemse #Biotech #MasonHarding

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐄𝐔 𝐀𝐈 𝐀𝐜𝐭: 𝐀 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫 𝐟𝐨𝐫 𝐏𝐡𝐚𝐫𝐦𝐚 & 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 The EU AI Act is set to redefine the 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 landscapes. Are you prepared for what's coming? Our comprehensive guide dives deep into the specifics of the EU AI Act, including the implementation timeline, industry implications, and key challenges. In addition, explore our latest report, "𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐏𝐡𝐚𝐫𝐦𝐚," which highlights the transformative power of AI in the pharmaceutical industry. Ready to lead the charge? Join us at 𝐏𝐡𝐚𝐫𝐦𝐚 𝐈𝐐'𝐬 𝐀𝐈 𝐟𝐨𝐫 𝐏𝐡𝐚𝐫𝐦𝐚 & 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐮𝐦𝐦𝐢𝐭 𝐢𝐧 𝐀𝐦𝐬𝐭𝐞𝐫𝐝𝐚𝐦 (𝐒𝐞𝐩𝐭 𝟐𝟒-𝟐𝟔, 𝟐𝟎𝟐𝟒) to learn how to turn AI potential into practice. 👉 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/gjui2n_8 #AI #Pharma #Healthcare #EUIAAct #DigitalTransformation #PharmaLeaders #HealthcareInnovation #AIinHealthcare #PharmaSummit #EURegulations #DrugDevelopment #ClinicalTrials #Biotech #HealthTech #PharmaTrends

Our commitment to quality and tailored solutions in clinical research drives every decision we make. 🚀 We're not just about data — we're about delivering it with precision, powered by years of expertise and cutting-edge technology. From pharmaceutical giants to dynamic biotechs, our services are meticulously crafted to meet diverse needs. Looking to accelerate your clinical trials? Leverage our experience in big data and AI to propel your research forward. Dive into our world of pioneering R&D solutions designed to optimize efficiency and outcomes. 🔗 Ready to explore how we can transform your clinical trial experience? Head to our website to consult with our experts and learn more about our bespoke services. https://lnkd.in/dCpvXC7A #HiRO #ClinicalResearch #Biotech #Pharmaceuticals #Innovation #BigData #AI"

🚀 Breaking: The Future of Pharma is Here! 🧬💊 Exciting times ahead for the pharmaceutical industry in 2024 and beyond! 🌟 Key trends shaping our future: • Anti-obesity medications leading the charge 💪 • Personalized medicine revolutionizing treatment 🔬 • AI and big data transforming healthcare 🤖 • Immuno-oncology breakthroughs saving lives 🩺 But challenges remain: • Drug pricing pressures 💰 • Patent expirations 📅 • Regulatory hurdles 📋 As industry professionals, we must innovate, collaborate, and adapt. Let's embrace these changes and work together to create a healthier world! 🌍 What excites you most about pharma's future? Share your thoughts below! 👇 #Pharma2024 #BiotechInnovation #HealthcareFuture #AI #PersonalizedMedicine

With countless medical conditions still lacking effective treatments, the pressure on pharmaceutical innovation has never been higher. Yet despite substantial investment, nearly 88% of drugs fail during clinical trials, leaving many potential breakthroughs unrealized. How can we reverse this trend? This blog authored by Amit Deshpande, Senior Engineering Delivery Partner, dives into how Contract Research Organizations (CROs) are uniquely positioned to harness big data and AI analytics to boost drug development success. By leveraging years of clinical data, CROs can streamline the entire value chain — from patient cohort selection to regulatory alignment — accelerating development timelines and cutting costs significantly. This piece explores: • Streamlining CRO value chains through data analytics • Setting the stage for data-driven drug development • Giving CROs an analytical edge with AI and ML Read on to discover how CROs can pave the way for faster, more efficient drug development: https://lnkd.in/g3U7HPFX Bidish Sarkar, Sameer Dixit, Dr. Rajesh Gharpure, Akshay Chitlangia #Bigdata #CRO #ContractResearchOrganizations

Harnessing Data in Pharma: Transforming Products and Patient Care 💊 Data is revolutionizing the pharmaceutical industry, reshaping products, and improving patient outcomes. Here's how: 🔹 Drug Discovery and Development: Advanced analytics and AI expedite candidate identification in drug discovery, accelerating clinical trial predictions, and reducing costs. 🔹 Clinical Trials Optimization: Real-world data enhances trial design, improving patient recruitment, retention, and overall trial reliability. 🔹 Post-Market Surveillance: Data analytics ensures drug safety post-approval by identifying adverse effects promptly and guiding risk management. 🔹 Supply Chain Management: Data-driven insights optimize product delivery to patients, enhancing efficiency and safety. #DataAnalytics #Innovation #Healthcare #PatientCare

I recently presented at Sankhya, the 13th Statistics Conference of Novartis for the Pharmaceutical Industry 2024, on "Harnessing Data Science to Predict Success in Drug Approval." Showcased an ML model built on sample data that not only classifies trial outcomes as success or failure but also provides the Probability of Success (POS) estimates. The model achieved an impressive F1 score of 72%-78% across clinical trial phases. In my opinion, the score can be further improved by fine-tuning hyperparameters and feature engineering, which is ongoing. The importance of POS: Optimizes resource allocation and minimizes financial risks Identifies high-risk projects early, reducing costly late-stage failures Enhances strategic decisions with data-driven insights Boosts overall success rates and investor confidence With access to curated data, life sciences companies, will increasingly focus on ML models to identify promising drugs early in clinical trials, thus augmenting expert decisions and advancing effective drug development. #DataScience #MachineLearning #DrugDevelopment #ClinicalTrials #Novartis #Sankhya #Innovation #Healthcare #ML #POS #ProbabilityOfSuccess

📚 Essential Reading for Pharma Leaders: New Whitepaper Released The pharma industry faces unique obstacles in drug discovery, clinical trials, and regulatory compliance. The costs are staggering, the timelines extensive, and the stakes incredibly high. As R&D investments reach billions, pharma companies aim for more than market success. Their primary goal remains clear: delivering vital treatments to patients faster, without compromising quality. What You'll Learn: ✦ Strategic GenAI Implementation Framework ✦ Data infrastructure requirements  ✦ Talent development strategies  ✦ Technology integration approach  🔗 Download your copy: https://lnkd.in/gdD_CDMJ Authored by Raj Kumar, Principal Consultant, Digital Health at Maxis Clinical Sciences. Take Action Now: Contact our GenAI specialists for: → Strategic planning session → Custom implementation roadmap → ROI analysis → Risk assessment Schedule a free consultation at: https://lnkd.in/gj6P9yqV #Pharmaceutical #DrugDevelopment #ClinicalResearch #ClinicalTrials #GenerativeAI #LifeSciences #MaxisClinicalSciences Dr. Kavita Lamror | Khooshbu Singh | Shibra Tupke | Sneha Gupta