Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology

Irmakci, Ismail; Nateghi, Ramin; Zhou, Rujoi; Vescovo, Mariavittoria; Saft, Madeline; Ross, Ashley E.; Yang, Ximing J.; Cooper, Lee A.D.; Goldstein, Jeffery A.

doi:10.1016/j.modpat.2024.100422

Modern Pathology

2024

DOI: 10.1016/j.modpat.2024.100422

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Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology

Ismail Irmakci,

Ramin Nateghi,

Rujoi Zhou

et al.

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Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence

Sisó,

Kavirayani,

Couto

et al. 2024

Toxicol Pathol

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Pathology, a fundamental discipline that bridges basic scientific discovery to the clinic, is integral to successful drug development. Intrinsically multimodal and multidimensional, anatomic pathology continues to be empowered by advancements in molecular and digital technologies enabling the spatial tissue detection of biomolecules such as genes, transcripts, and proteins. Over the past two decades, breakthroughs in spatial molecular biology technologies and advancements in automation and digitization of laboratory processes have enabled the implementation of higher throughput assays and the generation of extensive molecular data sets from tissue sections in biopharmaceutical research and development research units. It is our goal to provide readers with some rationale, advice, and ideas to help establish a modern molecular pathology laboratory to meet the emerging needs of biopharmaceutical research. This manuscript provides (1) a high-level overview of the current state and future vision for excellence in research pathology practice and (2) shared perspectives on how to optimally leverage the expertise of discovery, toxicologic, and translational pathologists to provide effective spatial, molecular, and digital pathology data to support modern drug discovery. It captures insights from the experiences, challenges, and solutions from pathology laboratories of various biopharmaceutical organizations, including their approaches to troubleshooting and adopting new technologies.

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Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence

Sisó,

Kavirayani,

Couto

et al. 2024

Toxicol Pathol

View full text Add to dashboard Cite

show abstract

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Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology

Cited by 1 publication

References 68 publications

Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence

Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence

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