Artificial Intelligence for Data-Driven Medical Diagnosis 2021
DOI: 10.1515/9783110668322-002
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2 Deep learning-based cellular image analysis for intelligent medical diagnosis

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Cited by 3 publications
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“…Lastly, the developments in OOC technology can eliminate animal testing in preclinical studies and enable multiple drug testing on a single chip. Similarly, the integration of emerging “artificial intelligence” techniques into microfluidic-based spheroid-engineering methods by controlling spheroid size formation, evaluating new drug candidates, and analyzing drug responses could lead to the development of next-generation tools for effective drug studies. , These developments can eliminate animal tests and accelerate preclinical analyses and may lead to “clinical trials-on-a-chip” technology in the future.…”
Section: Discussionmentioning
confidence: 99%
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“…Lastly, the developments in OOC technology can eliminate animal testing in preclinical studies and enable multiple drug testing on a single chip. Similarly, the integration of emerging “artificial intelligence” techniques into microfluidic-based spheroid-engineering methods by controlling spheroid size formation, evaluating new drug candidates, and analyzing drug responses could lead to the development of next-generation tools for effective drug studies. , These developments can eliminate animal tests and accelerate preclinical analyses and may lead to “clinical trials-on-a-chip” technology in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, the integration of emerging "artificial intelligence" techniques into microfluidic-based spheroid-engineering methods by controlling spheroid size formation, evaluating new drug candidates, and analyzing drug responses could lead to the development of next-generation tools for effective drug studies. 168,222 These developments can eliminate animal tests and accelerate preclinical analyses and may lead to "clinical trials-on-a-chip" technology in the future. The global 3D cell culture market including spheroid engineering is expected to grow from $1.3 billion (U.S. dollars) in 2022 to $2.6 billion by 2027, at a compounded annual growth rate (CAGR) of 15.6% between 2022 and 2027.…”
Section: Design Parameters Of Microfluidicmentioning
confidence: 99%