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An Overview of HBSM Trends & Practices

Cloudbyz

Automated Biobanking. Automated Biobanking is an approach to radically reduce the manual tasks involved in properly storing, labeling, authenticating, and monitoring samples, as well as increasing the ease of displaying much of their data values and making sample retrieval easier. Cost Recovery Fees for Biobanks.

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The post-Covid New Normal: a golden opportunity for the NHS?

pharmaphorum

I recently had the pleasure of attending the PING Conference 2022 , which had the tagline of ‘The Golden Age for Life Sciences Innovation’. Aspirations for the UK in life sciences. So, with all that said, are we really in a golden age for UK life sciences? Reducing complexity across the NHS.

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Digitalising drug discovery

pharmaphorum

As data and digital technology become vital to every aspect of life sciences, the industry is increasingly looking beyond biologists, chemists, and doctors to drive its drug development – and finding that technology has a chief role to play in the future of medicine.

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Digitalized HBSM: The Greatest Advantages

Cloudbyz

Advantages gained from digitalization are certainly not limited to Human Biosample Management (HBSM) or any other applied aspects of the Life Sciences. Is it now stored in a biobank? There are a number of advantages to be gained from the digitalization of many professional processes or structures.

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New Research Reveals How Air Pollution May Trigger Lung Cancer

XTalks

levels were associated with an increased risk of EGFR mutated (EGFRm) NSCLC in England, South Korea and Taiwan, and an increased risk of mesothelioma, lung, anal, small intestine, glioblastoma (GBM), lip, oral cavity and pharynx and laryngeal carcinomas in samples from the UK Biobank. Results of the investigations showed that PM 2.5

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Biorepositories as a Guiding Resource for Research & Drug Discovery

XTalks

Biobanks are used for the coordination of high-yield patient sample collection. Moreover, biobanks are no longer passive biorepositories for accrual of samples and serve a more utilitarian function in identifying and coordinating specific research cohorts for longitudinal and prospective studies. Biobanking Models.

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Artificial intelligence could be new blueprint for precision drug discovery

The Pharma Data

.” In the new study, Ghosh and colleagues replaced the first and last steps in preclinical drug discovery with two novel approaches developed within the UC San Diego Institute for Network Medicine (iNetMed), which unites several research disciplines to develop new solutions to advance life sciences and technology and enhance human health.

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