AI-assisted tumour scoring, human-computer interaction and much more: At the AACC Annual Scientific Meeting & Clinical Lab Expo, lab professionals from all over the world gather to see cutting edge science and technologies that will shape the future of laboratory medicine. Curious? Keep reading.
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Article • Human-Computer InteractionShaping the laboratories of the futureThe need to effectively address HCI – Human-Computer Interaction – is emerging as the key challenge in creating a productive and efficient laboratory of the future. The subject was examined in detail by Andreas Schuller from the Fraunhofer ... |
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Article • Urothelial carcinomaAI assists in PD-L1 scoringA new deep learning algorithm, which demonstrates the potential of artificial Intelligence (AI) to support pathologists, has been developed for PD-L1 scoring in tumour cells and immune cells in urothelial carcinoma samples. Speaking at the Digital ... |
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News • Surprising similaritiesThese are the top 25 medical lab tests around the worldA recent study can help governments understand which diagnostic laboratory tests are most important when developing universal health coverage systems. Researchers from five countries found that diagnostic laboratory tests are used similarly around ... |
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Sponsored • Lab ITOld software makes old mistakes …Since the microprocessor entered the medical laboratory we have watched how those responsible also have been confronted with the errors in the software supplied with it. Obviously, such errors are to be avoided or found and corrected before use. ... |
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Article • Point-of-Care TestingPOCT: A coordination office is necessaryPoint-of-care testing (POCT) is complex and its development continues due to digitisation in healthcare and increasing international partnerships among the healthcare actors. In a hospital, a number of factors need consideration to fully exploit the ... |
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Article • Post-analytical interpretive toolsTowards a clearer view of complex lab resultsInterpretation of complex profiles of laboratory results can be significantly improved via multivariate pattern recognition software. A multivariate pattern recognition software, developed by a team led by Dr Piero Rinaldo at Mayo Clinic in ... |
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News • Targeted treatmentCancer: Blood sample to help select the right early phase clinical trialsScientists could help match cancer patients with no other treatment options to clinical trials with experimental medicines, by analysing the genetic faults in a sample of their blood. The researchers, funded by Cancer Research UK, The Christie ... |
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