2019 Archive

How Mergers and Acquisitions Will Drive Oncology Research in 2019
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Knocking Out Cancer With a One-Two Punch
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From Genotype to Phenotype: Leveraging functional genomics in oncology
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Flow Cytometry – The advanced systems overcoming drug discovery pain points
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3D Organoid Cell Culture – Optimising disease models for research and drug discovery
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Integrated Platform Drug Discovery and Development Companies – Part II: comparative analysis
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Mining plant genomes – A modern approach to herbal healing
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Fostering Multidisciplinary Collaboration in Drug Discovery
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The Reality of Virtual Pharmaceutical Companies
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Automating Automation – How close are we to Artificial Intelligence impact?
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Automated Cell-based Assays: Novel tools overcome the barriers to drug discovery success
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Fail Early, Fail Fast – A phenotypic rescue approach
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Safety First – Automating cell line development
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Cell Therapy – Falling short of its potential?
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From human genome to global genome – why precision medicine must address genetic diversity
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Application of bioinformatics in support of precision medicine
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Unlocking Clinical Trial Data to Uncover New Therapeutic Opportunities
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Bitten by the Bug – A flurry of investments fuel microbiome drug discovery
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Using Live-Cell Imaging Systems to Transform Perspectives in Drug Discovery
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How Artificial Intelligence is Transforming Drug Design
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Optimising Phenotypic Screening – Single-cell analysis versus 3D multicell analysis
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2030 Life Sciences and Health in the Digital Age
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Reducing the PAINS in High Throughput Screening: Assay design as a tool for maximising efficiency
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Evolving Models for NASH Drug Discovery: Tools for stemming a silent epidemic
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Cryo-EM accelerates drug discovery
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Getting a handle on liquids: automation solutions for drug discovery
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Unlocking the potential of Extracellular Vesicles: from single molecules to novel therapeutics
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Harnessing the modified proteome for increased diagnostic power
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2030 Life Sciences and Health in the Digital Age (Part 2)
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Drug development 2.0 – The partnership model in practice
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Evolution of User Experience for life sciences
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