Lina Nilsson

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pharmaceuticals drug discovery rare diseases drug repurposing inflammation immunooncology diseases of aging phenomics artificial intelligence machine learning technology biology neuroscience cancer techbio biotech pharma platform tech oncology pipeline disease future innovation nvidia supercomputer data rare disease biotechnology ventures for good bioinformatics information technology life sciences biotechnology: biological products (no diagnostic substances) health care biotechnology research ai-enabled drug development biological datasets chemical datasets proprietary data high throughput labs crispr technology automated wet labs experimental scale cell imaging transcriptomics patient-centric data biological relationships clinical trials drug targets compound management molecular design biopharmaceuticals innovative therapeutics biological mapping chemical profiling data-driven insights computational biology high-resolution imaging generative ai large-scale experiments clinical development automated biological assays data interoperability open-source datasets phenotypic analysis medical research pharmacokinetics adme predictive models target validation patient outcomes structural biology biomarkers experimental biology data aggregation automation biological data recursion operating system high-throughput screening therapeutic development precision medicine clinical-stage therapeutics data-driven solutions pharmaceutical companies research institutions innovative treatments disease biology predictive modeling partnerships collaborations scientific research healthcare outcomes patient-centric experimental throughput multi-modal imaging customer satisfaction employee culture collaborative environment rapid drug development healthcare innovation cancer therapies computational predictions drug efficacy safety analysis medical information technology & services hospital & health care health wellness & fitness