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      Blockchain for applications of clinical trials: Taxonomy, challenges, and future directions

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          Innovation in the pharmaceutical industry: New estimates of R&D costs.

          The research and development costs of 106 randomly selected new drugs were obtained from a survey of 10 pharmaceutical firms. These data were used to estimate the average pre-tax cost of new drug and biologics development. The costs of compounds abandoned during testing were linked to the costs of compounds that obtained marketing approval. The estimated average out-of-pocket cost per approved new compound is $1395 million (2013 dollars). Capitalizing out-of-pocket costs to the point of marketing approval at a real discount rate of 10.5% yields a total pre-approval cost estimate of $2558 million (2013 dollars). When compared to the results of the previous study in this series, total capitalized costs were shown to have increased at an annual rate of 8.5% above general price inflation. Adding an estimate of post-approval R&D costs increases the cost estimate to $2870 million (2013 dollars).
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            Deep learning enables rapid identification of potent DDR1 kinase inhibitors

            We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes synthetic feasibility, novelty, and biological activity. We used GENTRL to discover potent inhibitors of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, in 21 days. Four compounds were active in biochemical assays, and two were validated in cell-based assays. One lead candidate was tested and demonstrated favorable pharmacokinetics in mice.
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              Blockchain challenges and opportunities: a survey

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                Author and article information

                Contributors
                Journal
                IET Communications
                IET Communications
                Institution of Engineering and Technology (IET)
                1751-8628
                1751-8636
                August 27 2022
                Affiliations
                [1 ]Business School Shanghai Normal University Tianhua College Shanghai China
                [2 ]Department of Otorhinolaryngology Head and Neck Surgery Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China
                [3 ]Department of Computer Engineering Jeju National University Jeju Korea
                Article
                10.1049/cmu2.12488
                6de04971-2113-440a-b462-96999df85516
                © 2022

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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