Heba Sailem, PhD
@hsailem
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Senior Lecturer in Biomedical AI and Data Science. Recruiting PhD and research staff in deep learning, digital pathology, bioinformatics & microscopy
King's College London
Joined March 2011
Exciting news! Our latest paper on AI in #Histopathology Explorer is out! It’s the first & largest online resource cataloguing AI methods for cancer diagnostics & prognosis using #histology images https://t.co/GeLOrKQg9m.
#DigitaPathology #Bioimaging @BioImagingUK
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Amazing!
👀 For more than 15 years, Janelia researchers have been on a mission to catalogue the neurons of the fly optic lobes & develop genetic tools to study them. This effort has culminated in a complete inventory of all the visual neurons in the fruit fly ➡️ https://t.co/DW5z89nBRq
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Check out our walkthrough guide of the HistoPathExpo dashboard on Oncology Central! Explore trends in AI for histopathology, foundation models, and compare performance across tasks & cancer types. Link: https://t.co/uEvXZ0iC1a
#AIinPathology #DigitalPathology #HistoPathExpo
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CellPhePy is now available 🎉🎉🎉 in the @JofMicroscopy. A python version for #CellPhe. See https://t.co/9ZQgJbHCva Thanks @BBSRC and @wellcometrust for funding
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PAPER OUT!! 🥳🎉💃🏻🕺🏻💃🏻🕺🏻 A redefined InDel taxonomy provides insights into mutational signatures @NatureGenet Brainchild of the amazing @GeneChChKoh Tweetorial below!! 👇 1/n
nature.com
Nature Genetics - This paper describes a framework for classifying small insertions and deletions from genomic data and applies it to a large dataset comprising seven tumor types. The analysis...
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In our interview with Jennifer Lippincott-Schwartz @JLS_Lab, we discuss her research career, her advice on building collaborations and learn why she is looking forward to #biologists100. Jennifer will be speaking in our emerging technologies session. https://t.co/Wq3Lc7pGt8
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For more insights, check our paper featuring HistoPathExpo here:
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Histopathology AI datasets at your fingertips. Curated from 1500+ studies. With the #HistoPathExpo dashboard, you can easily filter published datasets based on public or partial availability. Explore: https://t.co/yq1N5Ikn9T
#AI #Histopathology #Microscopy #Cytology #Spectroscopy
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Volume electron microscopy reveals unique laminar synaptic characteristics in the human entorhinal cortex. https://t.co/szwNtRWbuy
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Check out our AI in Histopathology Explorer:
A new dashboard collates and drills down into more than a thousand AI and cancer studies The AI in Histopathology Explorer is an exciting resource providing a wide -ranging overview of AI's key role in tackling the disease Read more ⤵️ https://t.co/zliQ0qDcbS
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Want to dig deeper? 🔎 The Intelligent Explorer Tool lets you download lists of studies for specific cancers & clinical tasks - plus view study summaries !
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🌍 AI in histopathology is a global effort! Check the Authorship Map to see how different countries contribute to this growing field https://t.co/XtpZfhJsU3.
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How well do AI tools perform? 📈 Our analysis shows some cancers reach 94% average accuracy! Compare AI performance across tasks & models on the Performance pages https://t.co/YN1A22wySk.
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ResNet, VGG, transformers & Inception were among the most popular AI architectures in histopathology. Learn more about different models on the Models page https://t.co/GTeovAj53Q!
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Foundation models are making their way into histopathology. Check out our dedicated Foundation Models page to learn how they are being used https://t.co/qxa5eujaYR.
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AI has been used to investigate 400+ cancer indications! Use our Network Tool to explore the links between cancers & clinical tasks https://t.co/1JrRgVwVfP.
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Our analysis of the studies revealed that over 36% focused on breast and colorectal cancers, with an average performance of 90%. The Summary page provides details on AI applications to different cancers, growth over time, and addressed clinical tasks https://t.co/sTd0IICPJI.
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What is AI in Histopathology Explorer? We curated 1,400+ studies to create a central hub for researchers, clinicians & decision-makers. Explore AI’s role in cancer diagnostics & prognosis here https://t.co/RfLfpmtff6.
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Your ideas deserve to be heard. Don’t keep them to yourself—submit your abstract for ISMB/ECCB 2025 and share them with the world’s top scientists.
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