4th Annual Digi-Tech Pharma & AI Conference, 2020 (London, United Kingdom – May 13-14, 2020)

Dublin, Feb. 12, 2020 (GLOBE NEWSWIRE) — The “Digi-Tech Pharma & AI 2020” conference has been added to ResearchAndMarkets.com’s offering.
The 4th Annual Digi-Tech Pharma & AI conference brings with it even more interactive sessions, expert speakers, senior professionals and decision-makers from leading pharma, biotech and healthcare industry.Meet the decision-makers, benchmark and learn from real-life use cases to drive organizational change and to understand the new cutting-edge technologies and practical solutions.In this 4th edition, as we explore the novel technologies and developments reforming the pharmaceutical industry, we also dive deep into the implementation and advances in machine learning, deep learning, artificial intelligence, informatics and data science which has redefined the development of new drugs, tackle diseases, improving healthcare and much more.Digital Technology trends in Pharma and Bio-Tech industryAdopting AI and Machine Learning to unlock the full potential of PharmaHow pharma can integrate into the digital health environmentCollaborative Innovation: Finding the right partners to leverage new technologies in PharmaPatient Centred Drug DiscoveryDigital Discovery and Clinical TrialsApplying AI to the design of lead compounds for new drugsAlgorithms and Models for drug discoveryAI and ML for Target Identification & Validation in Drug DiscoveryAdvancing Drug Discovery through quantum computingGenomics & Drug DiscoveryVirtual and Hybrid Clinical TrialsR&D Use CasesDecoding the Value of Data Science, Big Data & InformaticsImplementation and relevance of FAIR data principles in Pharma R&DHarnessing Data Science for Drug Combination DiscoveryAI and Big Data: A powerful combination for future growthThe use of AI to make sense of clinical dataUse of big data for precision medicineMulti-omics & clinical data to unlock the power of complex datasetsIntegration and Visualization of translational Medicine DataData & Healthcare AnalyticsReal-World Data & Real-World EvidenceThe Growing Importance of Real-World DataRWD for clinical research and drug developmentRWE and RWD to support regulatory decision makingRealWorld Data Science to advance Patient CareManaging real-world data governanceDigital Health & Future InnovationsHealthcare & Medical TechnologyAdoption of IoT in PharmaPotential of Cloud Computing in PharmaImpact of Digital Health in PharmaDigital Health strategy and Patient-centric Clinical TrialsThe convergence of Digital Therapeutics and Pharma in Digital HealthHow pharma-health collaboration works on innovating drug discovery & patient experienceBlockchain and AI-based PlatformAgenda
Day 108:15 – Registration & RefreshmentsCompany leadership and transformationNeed for communication specialists and up-to-date technologiesHiring digital experts and collaborationsThe need to be really quick in transforming at every level09:30 – Executives Discussion and Debate: Adopting AI and Machine Learning to unlock the full potential of Big PharmaInnovation in Big-PharmaAI-enabled business models in R&DAchieving full potential of AI to boost Drug Discovery and DevelopmentAI has the capacity to radically reduce the uncertainty in both early and late-stage drug discovery and development10:00 – Collaborative Innovation: Finding the right partners to leverage new technologies in PharmaHow early-stage partnering and collaboration will inhibit pharma innovationHow Biotech revolution has changed the face of drug development?Working with incubators, accelerators and innovation forums can also helpHaving a good governance structure in place10:30 – Morning Coffee/Tea & NetworkingUsing machine learning to integrate distinct, bigger datasets created from high throughput screening data can provide a path to predict bioactivities for targets and molecular properties with increased levels of accuracyBroader applicability of machine learning and the potential to change the drug development paradigmML tools that can improve discovery and decision making12:20 – Networking & LuncheonTransforming the entire pharmaceutical value chainHow do we implement Precision Medicine in the Real World?How does it affect the ecosystem of healthcare?Future of genomics and precision medicine14:00 – Powering Precision Medicine with Artificial Intelligence – AI to further advance drug combination design and development of precision medicineImproving the efficiency and effectiveness by implementing the FAIR guiding principles for scientific dataTools enabling FAIR dataFair as a machine learning enablerBenefits of FAIR in pharma15:00 – Afternoon Networking Tea BreakImportance of big data in decision makingPredominantly with pipelines paying attention on treatments for rare diseasesNeed for data integration and collaborations for free flow of informationGetting big data ready for AI15:50 – Integration and Visualization of translational Medicine DataWhy we need to rethink how we measure the quality of life when we engage patientsScaling up Data – How LEO Innovation Lab engaged over 200,000 psoriasis patients across 184 countriesImpact update: supporting IFPA and national patient associations to ensure insights can be utilized in supporting advocacy effortsPitfalls of current health-related quality measures we employ in clinical trials16:50 – Round Table Discussion:All the participants will have a great opportunity to discuss and explore a selection of the most interesting topics discussed during the conference in small groups with their industry colleagues in an informal setting.Each table will nominate a head who will summarise the discussion and questions posed. The group members are given equal rights to share and learn from each other’s experiences to discover an actionable solution on the discussed topic.17:20 – Chairperson’s closing remarksDay 2How RWE model can be used in R&D to accelerate new product developments?Integrated evidence development modelBuilding an effective RWE based capabilities systemAdvantages of implementing AI and ML09:30 – Integration and Analysis of Real-World Data (RWD) for clinical research and drug developmentLeveraging Real-World Data to Overcome the Inefficiencies of Drug DevelopmentUnderstanding the clinical processesRWD to create novel, faster and less invasive approaches to advance disease understanding and biomarker discoveryRWD for EHRs in last phase research studiesReal-World Data in the clinical study through a decentralized approach10:00 – Real-World Data Science to Advance Patient CareBI & Analytics in cloudDecentralized IT infrastructureScalability and flexibilityHow can efficiency be improved?11:50 – Data Visualization Innovations in Life Sciences and Drug Discovery – AI, VR and MR to Support Drug DiscoveryPotential benefits of the IoT on clinical researchData processing and managementPatient safety and automated monitoring systemsChallenges in regulatory approval and complianceDigital Health in Pharma & Future InnovationStrategies for efficient collaborationDigital health is proving to be a valuable asset for the pharma industryThe intersection of health-care and pharma are together transforming the customer journeyIdentifying other areas that need to be looked atInnovation is key to the future14:00 – Digital Innovation and Predictive Technology in Respiratory MedicinePharma-digital therapeutic alliancesMaking treatment more accessibleHow to fit it into the pharmaceutical workflow16:20 – Panel Discussion: Emerging technologies and how pharma-health collaboration works on innovating drug discovery & patient experienceThe changing patient behaviour in the digital eraWhy is it essential to be prompt in identifying and addressing the patient’s needs?How will digitization help bring patients on board?Progress made by companies so farStrategies to be adopted to increase patient -company data flowEmergence of wearable tech-potential benefits16:50 – Chairperson’s Closing Remarks and End of the Conference
For more information about this conference visit https://www.researchandmarkets.com/r/p0dgkqResearch and Markets also offers Custom Research services providing focused, comprehensive and tailored research.CONTACT: ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900