Digital pathology
- Submission status
- Open
- Submission deadline
Pathological examination of tissue has long been used in the diagnosis of disease. However, recent advances in imaging technologies have allowed for us to digitize pathology, which opens new avenues of exploration. Digital pathology not only increases our ability to analyze pathological slides computationally, including using machine learning, to provide diagnostic and theragnostic data, but it also allows for telepathology, increasing collaboration and improving diagnostic capabilities in low-resource areas where such tasks may have previously been unavailable. This digitization also allows us to gather additional data beyond traditional pathological staining, further improving our understanding of disease.
This Collection welcomes original research into digital pathology, including studies examining technologies for digitizing pathology and machine learning techniques for digitized data.
Editors
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Zeeshan Ahmed, PhD
Rutgers Health, USA
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Madhusudhanan Balasubramanian, PhD
The University of Memphis, USA
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Andrew J, PhD
Manipal Academy of Higher Education, India
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Sandeep Kumar Singhal, PhD
University of North Dakota, USA
Zeeshan Ahmed, PhD, Rutgers Health, USA
Zeeshan Ahmed is an Assistant Professor at the Department of Medicine, Rutgers Robert Wood Johnson Medical School, and a Core Faculty Member at the Institute for Health, Health Care Policy and Aging Research, Rutgers Health. His lab at Rutgers is focused on implementing novel Artificial Intelligence and Machine Learning (AI/ML), and standard bioinformatics approaches to investigate newly generated and existing multi-omics/genomic and phenotypic data for the identification of patterns revealing predictive biomarkers and risk factors to support the earlier diagnosis of patients with complex, common, and rare diseases. Dr Ahmed has been an Editorial Board Member for Scientific Reports since 2023.
Madhusudhanan Balasubramanian, PhD, The University of Memphis, USA
Madhusudhanan Balasubramanian is the Director and Principal Investigator of the Computational Ocularscience laboratory at The University of Memphis and an Associate Professor in the Department of Electrical and Computer Engineering at The University of Memphis. He also holds an Adjunct Associate Professor appointment in the Department of Ophthalmology at the University of Tennessee Health Science Center. His current research interests broadly comprise studying the structure of the optic nerve head and retinal function (electrophysiology) in normal eyes and eyes with progression of glaucoma and multiphysical modeling, as well as the experimental validation of ocular therapeutics. Dr Balasubramanian has been an Editorial Board Member for Scientific Reports since 2023.
Andrew J, PhD, Manipal Academy of Higher Education, India
Andrew J is a senior Assistant Professor at Manipal Institute of Technology, Manipal, India. His research interests comprise designing complex deep learning models to tackle challenges in medical image analysis, such as MRI, CT scans, X-rays, and histopathology images. Furthermore, he is also involved in research addressing privacy issues of healthcare data. Dr J has been an Editorial Board Member for Scientific Reports since 2024.
Sandeep Kumar Singhal, PhD, University of North Dakota, USA
Sandeep Singhal is an Associate Professor and Scientist in the Department of Pathology, School of Medicine and Health Sciences (SMHS), at University of North Dakota, USA. As a bioinformatics researcher, his areas of expertise include data mining, statistical modeling, and artificial intelligence. He also has a strong background in personalized medicine and cancer genomics, especially within digital pathology and biomarker discovery, which he gained at various institutes across India, Europe, USA, and Canada over the past 24 years. Dr Singhal has been an Editorial Board Member for Scientific Reports since 2023.
