miscellaneous
Miscellaneous links to be organised. Ordan burdan derlenmiş ama düzenlenmemiş güncel patoloji içerikleri. https://www.parapathology.com/appendix/miscellaneous
https://www.parapathology.com/appendix/miscellaneous
How to Train a State-of-the-Art Pathology Foundation Model with $1.6k https://sophont.med/blog/openmidnight#introduction
SophontAI/OpenMidnight https://huggingface.co/SophontAI/OpenMidnight
BreakHis Breast Cancer Classification https://huggingface.co/spaces/SophontAI/OpenMidnightDemo
MedARC-AI/OpenMidnight/ https://github.com/MedARC-AI/OpenMidnight/
Orthanc for WSI https://orthanc.uclouvain.be/wsi/
SlideRunner is a tool for massive cell annotations in whole slide images https://github.com/DeepMicroscopy/SlideRunner
Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers https://www.modernpathology.org/article/S0893-3952(22)05526-0/fulltext https://www.sciencedirect.com/science/article/pii/S0893395222055260
Standardized Clinical Annotation of Digital Histopathology Slides at the Point of Diagnosis https://www.modernpathology.org/article/S0893-3952(23)00202-8/fulltext https://www.sciencedirect.com/science/article/pii/S0893395223002028
AI is quicker and more accurate than pathologists at SNOMED coding pathology reports https://jcp.bmj.com/content/early/2025/10/13/jcp-2025-210320
Development of a national pathology training system using digital pathology and SNOMED-CT https://www.sciencedirect.com/science/article/pii/S2153353925000410
An open-source platform for structured annotation and computational workflows in digital pathology research https://www.nature.com/articles/s41598-025-13546-7 https://crs4.github.io/DigitalPathologyPlatform/ https://github.com/crs4/DigitalPathologyPlatform
Development of a national pathology training system using digital pathology and SNOMED-CT https://pubmed.ncbi.nlm.nih.gov/40688393/
Annotation Practices in Computational Pathology: A European Society of Digital and Integrative Pathology (ESDIP) Survey Study https://www.laboratoryinvestigation.org/article/S0023-6837(24)01881-6/pdf
Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving https://pubmed.ncbi.nlm.nih.gov/36109157/
Renal cell tumours with papillary architecture: evolving concepts, classification and new emerging entities https://onlinelibrary.wiley.com/doi/ftr/10.1111/his.70008
Molecularly defined renal cell carcinomas: practical approaches for surgical pathologists https://onlinelibrary.wiley.com/doi/epdf/10.1111/his.70039
Clear Cell Tumors of Kidney by Dr Sean R. Williamson, M.D https://www.youtube.com/live/NTDB_GxQKC4
OnSight Pathology A Real-Time platform-agnostic Pathology Companion. Bring AI Insights Directly To Your Workflow. https://onsightpathology.github.io/#features
Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine https://doi.org/10.1186/s12967-024-04891-8 https://link.springer.com/article/10.1186/s12967-024-04891-8
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration https://arxiv.org/abs/2307.07525 https://github.com/cripulos/HistoColAi
The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools https://www.mdpi.com/1999-4893/17/6/254
Digital slide scanning at scale: Comparison of whole slide imaging devices in a clinical setting https://www.sciencedirect.com/science/article/pii/S2153353925000318 https://www.cell.com/cell/fulltext/S0092-8674(25)01312-1 https://huggingface.co/prov-gigatime/GigaTIME https://github.com/prov-gigatime/GigaTIME
A deployment safety case for AI-assisted prostate cancer diagnosis https://www.sciencedirect.com/science/article/pii/S0010482525005888 https://www.linkedin.com/posts/paige-ai_new-peer-reviewed-research-from-the-articulate-pro-activity-7333858491264102400-XgVn/
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI https://www.microsoft.com/en-us/research/blog/gigatime-scaling-tumor-microenvironment-modeling-using-virtual-population-generated-by-multimodal-ai/
Towards generalisable and equitable artificial intelligence in pathology https://jcp.bmj.com/content/early/2025/12/13/jcp-2025-210357
A multimodal whole-slide foundation model for pathology https://www.nature.com/articles/s41591-025-03982-3
Sperm from donor with cancer-causing gene was used to conceive almost 200 children https://www.bbc.com/news/articles/ckgmy90z991o
Gastric glomus tumour with positive DOG1 and synaptophysin expression: a diagnostic challenge https://www.sciencedirect.com/science/article/pii/S1756231725001902
Top 5 Breakthroughs in Microscopy Image Analysis
https://www.youtube.com/watch?v=GNc3-PnupaU
Histologic Features of Tacrolimus-induced Colonic Injury https://pubmed.ncbi.nlm.nih.gov/34138798/
Aerogenous Dissemination of DEK::AFF2 Carcinoma A Prototype of a Previously Underrecognized Pattern of Endobronchial Metastasis From Extrathoracic Malignancies The American Journal of Surgical Pathology ():10.1097/PAS.0000000000002479, November 10, 2025. | DOI: 10.1097/PAS.0000000000002479 https://journals.lww.com/ajsp/abstract/9900/aerogenous_dissemination_of_dek__aff2_carcinoma__a.590.aspx
Digital Immunophenotyping of Lung Atypical Carcinoids and Large Cell Neuroendocrine Carcinomas Identifies Three Subtypes With Specific Tumor-Immune Microenvironment Features https://link.springer.com/article/10.1007/s12022-025-09886-9
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer https://www.nature.com/articles/s41467-025-64712-4 https://github.com/DBO-DKFZ/GleasonXAI
Digital Slide Archive https://www.youtube.com/playlist?list=PL8NeFUDUrcpq5BxO6X9cFZ8m0ZJRWSGWr
Digital Slide Archive https://www.youtube.com/playlist?list=PL8NeFUDUrcpq5BxO6X9cFZ8m0ZJRWSGWr
HistomicsTK https://www.youtube.com/playlist?list=PL8NeFUDUrcpqOmPZNENMT2H7KeX-K7VBx
Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole Slide Images for Objective Grading, STAS Identification, and Mutation Prediction https://www.modernpathology.org/article/S0893-3952(25)00205-4/abstract
Artificial intelligence in ovarian cancer histopathology: a systematic review https://www.nature.com/articles/s41698-023-00432-6
Unbiased AI: Addressing Bias in Computational Pathology https://www.mcpdigitalhealth.org/article/S2949-7612(25)00109-9/fulltext
Health care in the USA: money has become the mission https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)01669-1/abstract
From a new @TheLancet article today entitled "Health care in the USA: money has become the mission" https://t.co/jAjrsgJ5Zn pic.twitter.com/pCi21zDzpL
— Eric Topol (@EricTopol) October 21, 2025
Whenever I read a #pathology methylation study, that perfectly classifies tumors, I recall this scene from The Matrix:
Tank: Here you go, buddy; "Breakfast of Champions." Mouse: If you close your eyes, it almost feels like you're eating runny eggs. Apoc: Yeah, or a bowl of snot. Mouse: Do you know what it really reminds me of? Tasty Wheat. Did you ever eat Tasty Wheat? Switch: No, but technically, neither did you. Mouse: That's exactly my point. Exactly. Because you have to wonder: how do the machines know what Tasty Wheat tasted like? Maybe they got it wrong. Maybe what I think Tasty Wheat tasted like actually tasted like oatmeal, or tuna fish. That makes you wonder about a lot of things. You take chicken, for example: maybe they couldn't figure out what to make chicken taste like, which is why chicken tastes like everything.
Biomedical Natural Language Processing in the Era of Large Language Models
https://www.annualreviews.org/content/journals/10.1146/annurev-biodatasci-103123-095406
On delusional personalities in pathology https://link.springer.com/article/10.1007/s00428-025-04037-1
While observing the #digitalpathology AI ecosystem is changing, while the world is getting close to verse 2/30 :(
I am getting help for code documentation and error fixing in my #jamovi jamovi module development.
I have tried #vibecoding also but it made me feeling detached from the product.
Recently I started learning using slash command of claude CLI Claude Anthropic
Ironically I found OpenAI chatGPT more helpful in developing the commands than the claude itself.
Anyway. One of the recent commands I use is review-article-stats
If I give an article pdf or md file as an argument, it reviews the article, extracts the statistical methods, make critics on them, then compares whisch of these methods are possible to be done via jamovi module. It generates a report
identify gaps in jamovi module and suggests additions or enhancements to the functions.
If only I could combine these with an n8n/LangGraph workflow to recently published articles :)
son IT toplantısı sonrası projeler için görüntü alabilme sürecinin özeti: https://x.com/reha37/status/1953387798607581439
Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers https://pubmed.ncbi.nlm.nih.gov/36788085/ https://linkinghub.elsevier.com/retrieve/pii/S0893-3952(22)05526-0
Future of Artificial Intelligence-Machine Learning Trends in Pathology and Medicine https://pubmed.ncbi.nlm.nih.gov/39761872/ https://www.modernpathology.org/article/S0893-3952(25)00001-8/fulltext
https://www.instagram.com/p/DIl8X6IuUIX/
When reading slides this is the nightmare of the pathologist.
Klinik korelasyon önerilir: https://www.instagram.com/reel/DITA4YzocA8/
Adenomyoma/adenomyomatosis-associated mural intracholecystic neoplasms: analysis of clinico-pathologic, imaging, and molecular features of a consecutive case series https://link.springer.com/article/10.1007/s00428-025-04077-7
Multiplex Immunohistochemistry and Immunofluorescence: A Practical Update for Pathologists https://www.modernpathology.org/article/S0893-3952(23)00102-3/fulltext
https://github.com/Slicer/Slicer
https://github.com/gaoyi/SlicerBigImage
https://slicerscope.github.io/documents.html
https://www.youtube.com/watch?v=oHwHXa_ROqs
Malatya’dan Boston’a bilim köprüsü https://vimeo.com/880168375
Digital mapping of resected cancer specimens: The visual pathology report https://www.sciencedirect.com/science/article/pii/S2153353924000385
Implementing digital pathology: qualitative and financial insights from eight leading European laboratories https://link.springer.com/article/10.1007/s00428-025-04064-y
Robust sensitivity control in digital pathology via tile score distribution matching https://arxiv.org/abs/2502.20144
Distilling foundation models for robust and efficient models in digital pathology https://arxiv.org/abs/2501.16239
The Future of Immunohistochemistry https://isimm.org/education/isimm-webinars/the-future-of-immunohistochemistry/
ISIMM Webinar - Clinical Implementation of Multiplex IHC/IF with Real World Diagnostic and Predictive Applications with Sanjay Patel https://isimm.us7.list-manage.com/track/click?u=8666755584e8326e820fac159&id=8a9149050a&e=01f46d65a4
EScoP Course on Genitourinary Pathology https://esp-pathology.glueup.com/event/escop-course-on-genitourinary-pathology-135487/
15 Mart Cumartesi günü Koç Üniversitesi hastanesi RMK AIMES Merkezinde gerçekleştirilecek “HPB Cerrahları için Pankreas Patolojisi” Kursu E-AHPBA tarafında “Silver Seal Endorsement” desteği almıştır. Toplantı E-AHPBA tarafından da yayınlanacak olup sunumlar İngilizce gerçekleşecektir. Bölgesel toplantılarda olduğu gibi Zoom ve Youtube üzerinden yayınlanacak canlı yayın ülke genelinde takip edilebilecektir. Toplantı programı ve linklerine web sayfamızdan da (www.hpb.org.tr) ulaşabilirsiniz. Gündelik pratiğimizde pankreas hastalıklarının tanısında deneyimlediğimiz tüm güçlükleri patolojik, endoskopik, radyolojik ve cerrahi açıdan derinlemesine tartışma imkanı bulacağımız bu toplantıya yüz yüze katılma imkanı olan üyelerimizin [email protected] adresine mail atmasını rica ediyoruz. Toplantıya katılım ücretsizdir. Toplantı başlığı cerrahlar için olsa da pankreas alanında multidisipliner çalışma zorunluluğu nedeniyle radyolog, endoskopist ve patolog meslektaşlarımızın katılımı ile daha üretken bir toplantı olabileceği inancındayız. Saygılarımızla. Gürkan Tellioğlu Türk HPB Cerrahi Derneği Genel Sekreteri TOPLANTI PROGRAMI
Toplantı linkleri:Zoom link: https://us02web.zoom.us/j/84663332415 YouTube link: https://youtube.com/live/hK_zUh-ZgCM?feature=share
A persistent gender pay gap among faculty in a public university system https://www.nature.com/articles/s41598-024-72871-5
Generative Artificial Intelligence in Anatomic Pathology https://pubmed.ncbi.nlm.nih.gov/39836377/
Reproducible image-based profiling with Pycytominer https://www.nature.com/articles/s41592-025-02611-8
ggplot2 extenders https://ggplot2-extenders.github.io/ggplot-extension-club/meetings.html https://github.com/ggplot2-extenders/ggplot-extension-club/discussions
Multimodal histopathologic models stratify hormone receptor-positive early breast cancer https://www.nature.com/articles/s41467-025-57283-x
SPIDER (Supervised Pathology Image-DEscription Repository) https://www.linkedin.com/posts/activity-7302773428653047809-i1fM/?utm_source=share&utm_medium=member_desktop&rcm=ACoAACHBWocBNSBVkkJY2Vg1Kdp2kTEw1dx44qg https://github.com/HistAI/SPIDER https://huggingface.co/histai https://arxiv.org/abs/2503.02876
https://www.cancergrandchallenges.org/ai-human-collaborations-in-cancer
Hastaların %53'ü müdavi hekiminden daha önce patoloji raporlarına ulaşmış. Bunun sıkıntılı yanları da var. - Az görülen tümörlerde klinisyenin kendini hazırlamaya, patologla istişare etmeye vakti olmalı. Bazen bu şekilde yaptığımız mini klinikopatolojik değerlendirmeler ile raporları ayrıntılandırdığımız ya da düzenlediğimiz oluyor. Hastaya son kararın tek seferde bildirilmesi daha iyi olabiliyor. - Bazı kavramlar hastalarda gereksiz anksiyeteye neden olabiliyor. "Dev hücre" gibi. Google hekimliği bitti, şimdi yapay zekadan raporu analiz ettirmeye başladılar. - Raporda geçen teknik terimler "takibe alındı", "yeni parça", "yeni kesit" bağlamından koparılınca yanlış anlaşılabiliyor. https://www.linkedin.com/posts/jason-wasserman-7a9ba8250_if-you-provide-them-they-will-come-activity-7302428086027837440-Loun?utm_source=share&utm_medium=member_desktop&rcm=ACoAACHBWocBNSBVkkJY2Vg1Kdp2kTEw1dx44qg https://pubmed.ncbi.nlm.nih.gov/40015956/
2023 Classic Lectures in Pathology: What You Need to Know: Lung Pathology - A CME Teaching Activity https://www.youtube.com/watch?v=du7Y6nfKwd8
Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight https://www.sciencedirect.com/science/article/pii/S2374289525000089
Multimodal histopathologic models stratify hormone receptor-positive early breast cancer https://www.nature.com/articles/s41467-025-57283-x
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation https://arxiv.org/abs/2502.19285
Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions https://arxiv.org/abs/2502.19293
GrandQC - A comprehensive solution to quality control in digital pathology: Zhilong Weng, 03/03/25 https://www.youtube.com/watch?v=eWO2gujT7Sw&ab_channel=TIAWarwick
Adam daha retikülini oturtamamış, bana PD-L1 için app kullanın daha rahat cut-off tespit edersiniz diyor.
A pathologist's guide for the diagnostic workup of paediatric central nervous system tumours https://pubmed.ncbi.nlm.nih.gov/39658395/ https://www.pathologyjournal.rcpa.edu.au/action/showPdf?pii=S0031-3025%2824%2900290-3
Foundation Models -- A Panacea for Artificial Intelligence in Pathology? https://arxiv.org/abs/2502.21264
A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departments https://link.springer.com/article/10.1007/s00428-025-04059-9
Microsoft Dragon Copilot provides the healthcare industry’s first unified voice AI assistant that enables clinicians to streamline clinical documentation, surface information and automate tasks https://news.microsoft.com/2025/03/03/microsoft-dragon-copilot-provides-the-healthcare-industrys-first-unified-voice-ai-assistant-that-enables-clinicians-to-streamline-clinical-documentation-surface-information-and-automate-task/
AANP Teaching Rounds - February 26, 2025 - PitNET/Pituitary Adenoma Classification: Survival Tips https://www.youtube.com/watch?v=5ZqV2QnIbaA&ab_channel=AmericanAssociationofNeuropathologists
2 Mart 2025. Sosyal medyada paylaşılanlara göre PubMed erişiminde aksaklıklar yaşanıyormuş. Eskiden hemen her Amerikan fedeal bütçesinin askıda kaldığı dönemde güncellemelere ara verilirdi. Ama bu derecede erişim sıkıntısını hiç görmemiştim. Yıllar önce PubMed abstract'larını sistematik bir şekilde -yine PubMed'in sağladığı entrez araçlarıyla- indirip kaydetmiştim. O dönemlerde daha Large Language Modeller yoktu ama "write your own book" kodlu projeler üzerinde çalışıyorduk. https://github.com/sbalci/bibliometrics Sonra işte olanlar oldu, ölenler öldü. Projeler ve hayaller akim kaldı. Halbuki bugün bir PubMed mirror'u yapabilmemiz mümkündü. Bir tür "içimde kalanlar" ya da "ukdeler CV"si hazırlayayım bari ...
2 Mart 2025. Olayın kök nedenine bakmak lazım. Bu adamlar ne "mal sahibi" ne de "işi yapan" kişiler. Bir dönem işin erbabı olan, ama zaman içinde yeniliklere ayak uyduramadığı için artık o işi yapamayanlar, tecrübelerinden istifade edilmek üzere bir tür "ara müdür" olarak hayatlarını sürdürebilirler. Peter principle da değil, onlar da başka, bunlar da başka. Bunlar "profesyonel yönetici" olduklarını iddia eden, ne işin mutfağında çalışmış ne de malın sahibi olmayan, bugün bir şirkette başka bir gün başka bir şirkette yer alabilecek, "plaza dili" ile tekellüm eden, C-Level olarak kendilerini tanımlayanlar. Ara müdürlerin en işe yaramaz olanları. İşi bilmedikleri için, o işin mutfağı ile uğraşamazlar. Boş görünmemek için de kendilerine meşgale icat ederler. Kurumsal mesaj yayınlamak ya da yayımlamamak ya da yayımlayanlara had bildirmek ya da o kurumsal mesajda kullanılan rengin fontunu belirlemek gibi. Bunların en "prestijli" olanlarını 8 Mart'ta yayınlayacakları mesajlarda görürsünüz. Kadın çalışanlarına gebelik ve süt izni vermez, "bu bekar yakında evlenir gider" diye iş vermez, kadınlara daha ucuz maaş verir, ama 8 Mart'ta ünlü birkaç kişi ile poz ve mesaj verirler. Yani olayın özüyle bu ayın bir ilgisi yok. Zaten bu ayda sevinebilmek biraz da nasip işi, o apayrı bir şey. Heman Mevlam cümlemize selamet versin, mal ve iş sahiplerini bu C-level'ların şerrinden halas eylesin.
Digital counting of tissue cells for molecular analysis: the QuANTUM pipeline https://link.springer.com/article/10.1007/s00428-024-03794-9
The National Pathology Imaging Co-operative (NPIC) have created an open source public register of AI based pathology tools to support the implementation of AI in diagnostic services. https://www.rcpath.org/discover-pathology/news/firstofitskindcentralresourceofaibasedpathologytoolslaunched.html
Public evidence on AI products for digital pathology https://www.nature.com/articles/s41746-024-01294-3
Register of AI products for digital pathology https://osf.io/ypajd
Blueprints from plane to space: outlook of next-generation three-dimensional histopathology https://onlinelibrary.wiley.com/doi/10.1111/cas.16095
CUBIC pathology: three-dimensional imaging for pathological diagnosis https://www.nature.com/articles/s41598-017-09117-0
Foundation Models in Pathology: A Major Leap Forward https://www.linkedin.com/posts/mohsinbilal_foundation-models-in-pathology-a-major-leap-activity-7238134088606334976-yLHH/
Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact https://arxiv.org/abs/2502.08333
Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics https://www.modernpathology.org/article/S0893-3952(24)00268-0/fulltext
AI-Driven Spatial Transcriptomics Unlocks Large-Scale Breast Cancer Biomarker Discovery from Histopathology https://www.biorxiv.org/content/10.1101/2024.10.16.618609v2
Annotation Practices in Computational Pathology: A European Society of Digital and Integrative Pathology (ESDIP) Survey Study https://doi.org/10.1016/j.labinv.2024.102203
The tumour histopathology “glossary” for AI developers https://doi.org/10.1371/journal.pcbi.1012708
An international study of stain variability in histopathology using qualitative and quantitative analysis https://www.sciencedirect.com/science/article/pii/S2153353925000057
https://x.com/AI4Pathology/status/1889713583321190819
Artificial intelligence in digital pathology — time for a reality check https://www.nature.com/articles/s41571-025-00991-6
When Doctors With A.I. Are Outperformed by A.I. Alone https://erictopol.substack.com/p/when-doctors-with-ai-are-outperformed
Current Pathology Foundation Models are unrobust to Medical Center Differences https://arxiv.org/abs/2501.18055
qupath-extension-gncnn https://github.com/UCLM-VISILAB/qupath-extension-gncnn
GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning https://www.sciencedirect.com/science/article/pii/S2001037024004197
Frontiers in Computational Pathology https://sites.google.com/view/miua2025-fcpath/
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification https://www.nature.com/articles/s41698-025-00799-8
https://www.youtube.com/watch?v=984Jz2QCvng
Developing an AI tool for renal pathology: case Galileo https://www.aiforia.com/webinar-galileo-ai-tool-for-renal-pathology
Paige PanCancer Detect: A Milestone Achieved in Computational Pathology! https://www.linkedin.com/pulse/paige-pancancer-detect-milestone-achieved-pathology-siqi-liu-mgume/
Overcoming Challenges in Implementing Digital Pathology and AI at Scale: Lessons from the Field https://www.linkedin.com/pulse/overcoming-challenges-implementing-digital-pathology-ai-singh-md-nd4se/
Modella AI’s Generative AI Co-Pilot PathChat Receives FDA Breakthrough Device Designation https://www.businesswire.com/news/home/20250128288933/en/Modella-AI%E2%80%99s-Generative-AI-Co-Pilot-PathChat-Receives-FDA-Breakthrough-Device-Designation
Artificial Intelligence–Based Classification of Renal Oncocytic Neoplasms https://allen.silverchair-cdn.com/allen/content_public/journal/aplm/pap/10.5858_arpa.2024-0374-oa/3/10.5858_arpa.2024-0374-oa.pdf?Expires=1743260269&Signature=nU8t8JqwgbmA8urWjtZbdDFQZFuycpkmp5kJYlufdwSBUFrtUAAAeHqJiNY5zJWnbw0MnjReeMWlXlusM3U-OIRbs68fE2xMlSdwpV49ElAwnLDjJUIEslO16DTF33z9FHkGWLPDFcnDkdRRMBNMSPfU65xrHHCuI6vVQ921X7rVh3528zu02SdlCFmWyx2t1jfjJdq7XFvjGEoYmREL5CvYgJRCMxU34Md08lLjSyg9Ma7CBOszvUVGoDoP7Wd41AeHXM5RpJPWTbrmlo5vbfK1o8exxNkHxwnEJ23onDzg2WkTlTdZwZkm87eMDitnvPfS5E8wahhdKFwQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
https://x.com/Vik_deshpandeMD/status/1556064583915393026
https://x.com/JClinPath_BMJ/status/1893284420355788953
Gene of the month: GATA3 https://jcp.bmj.com/content/76/12/793
https://www.youtube.com/watch?v=OAypMgjhRLE&t=2010s&ab_channel=TIAWarwick
Current role of cytopathology in the molecular and computational era: The perspective of young pathologists https://acsjournals.onlinelibrary.wiley.com/doi/10.1002/cncy.22832
Biyopsi bakarken ben:
https://bsky.app/profile/lucas.meyerperin.org/post/3lildqvlp4k2e
Reproducibility of endometrial intraepithelial neoplasia diagnosis is good, but influenced by the diagnostic style of pathologists https://pubmed.ncbi.nlm.nih.gov/22301705/
An international study of stain variability in histopathology using qualitative and quantitative analysis https://www.sciencedirect.com/science/article/pii/S2153353925000057
Comparative performance of PD-L1 scoring by pathologists and AI algorithms https://onlinelibrary.wiley.com/doi/full/10.1111/his.15432
Frontiers in Computational Pathology https://sites.google.com/view/miua2025-fcpath/
FS2K2025 Workshop Introduction https://www.youtube.com/watch?v=Vl9V5PxOQIc
NPIC Digital Pathology Webinar Series - Innovation into Practice - Webinar 8 - Ask Us Anything. The National Pathology Imaging Co-Operative (NPIC) is back with an exciting new series of free educational webinars on digital pathology topics. Learn first-hand about hot topics in clinical digital reporting, the digital laboratory, IT and informatics and get a chance to pose your questions to the experts! Suitable for pathologists, biomedical scientists, informatics and IT professionals, managers and industry representatives. https://events.teams.microsoft.com/event/b46d9cac-a466-4bdf-8076-35617dd24670@37c354b2-85b0-47f5-b222-07b48d774ee3
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics https://www.nature.com/articles/s43018-024-00793-2
Virtual 2025 QuPath Training Course: From Samples to KnowledgeThank you for your interest in our training course! We will broadcast the course in real time on Zoom. While we won't have the ability to directly assist you, we will have a way for you to ask questions which will be reviewed and, if time allows, answered during the course. Please fill out the form below and we will email you the meeting details and zoom link when available. You will also get installation instructions, and links to files, presentations, and projects. The training course will take place on February 24-25, 2025 between 9 and 5 pm PST. We will not stream or record the Advanced User's Meeting on February 26 in order to protect preliminary data. Alternatively, if you want to attend in-person, please register on Eventbrite. We don't spam, sell, or share your information. &#xNAN;We highly recommend using a comfortable mouse with a scroll wheel during the training. https://docs.google.com/forms/d/e/1FAIpQLSdl1lv_5NlYkdz_JtQDb2HEAUbQxajvU7y5IN4PhmtgBXF-ng/viewform
Panik Tanı https://www.youtube.com/watch?v=HFEN9C20ceQ
Artificial intelligence in digital pathology — time for a reality check
https://x.com/AI4Pathology/status/1889713583321190819
https://github.com/mahmoodlab/trident
https://github.com/mahmoodlab/patho-bench
https://github.com/mahmoodlab/UNI
https://github.com/mahmoodlab/TITAN
Accelerating Data Processing and Benchmarking of AI Models for Pathology https://arxiv.org/abs/2502.06750
https://agentlaboratory.github.io/
https://github.com/microsoft/data-formulator
A new vision in Pathology: From clinical implementation of Digital Pathology to algorithm development in Computational Pathology https://repositorio-aberto.up.pt/handle/10216/165284
Digital Pathology in Endocrine Disorders https://link.springer.com/collections/gabfeibadh
A multicenter study to evaluate the analytical precision by pathologists using the Aperio GT 450 DX https://pmc.ncbi.nlm.nih.gov/articles/PMC11600015/
An international study of stain variability in histopathology using qualitative and quantitative analysis https://www.sciencedirect.com/science/article/pii/S2153353925000057#s0040
Tissue Image Analytics (TIA) Centre https://warwick.ac.uk/fac/cross\_fac/tia/seminars/seminars-24-25/
When Doctors With A.I. Are Outperformed by A.I. Alone https://erictopol.substack.com/p/when-doctors-with-ai-are-outperformed
Generative Artificial Intelligence in Anatomic Pathology https://pubmed.ncbi.nlm.nih.gov/39836377/
NPIC Digital Pathology Webinar Series - Innovation into Practice - Webinar 7 - A Focus on Stain, Scanner Physical Quality and Display. https://events.teams.microsoft.com/event/0c9807b9-d89b-4e95-b77a-7719fa96d169@37c354b2-85b0-47f5-b222-07b48d774ee3
Gross examination and frozen section of breast pathology and oncology surgery specimens https://www.youtube.com/watch?v=SR-mAuzxt2o
Your Operating System ｜Eukaryotic Transcription https://www.youtube.com/watch?v=HZAmbbTcQ3M&t=16s
https://github.com/mcanouil/quarto-issues-experiments/tree/main/test-statistical-analysis-listing
https://m.canouil.dev/quarto-extensions/
https://gist.github.com/richarddmorey/ba6aa67ef2d38356f12f7e17d0421036
https://cran.r-project.org/web/packages/staticryptR/readme/README.html
https://compgenomr.github.io/book/
https://youtube.com/playlist?list=PL3x6DOfs2NGjAvuW2kC0kKP_oCWK2omFt&si=mhWs0jII7ipJ56cf
https://youtube.com/playlist?list=PL3x6DOfs2NGj2sMp67G5ihOyiY4d1VVvr&si=JCqObGzE00qUQt5C
What can men do against such reckless hate https://www.youtube.com/watch?v=t6qQSll7InQ
Bu federasyonun yeni çalışması https://turkpath.org.tr/files/pdf/rehber.pdf PBYS için önerilen özelliklere bakın. bu ise benim notlarımın bulunduğu sayfa https://www.parapathology.com/laboratory-management/laboratory-information-systems/patoloji-moduelue-oezellikleri zamanında ben bu şartnameyi hazırlamıştım. 2011 olmalı. O sırada kalite komisyonundaydım. Bir örneğini vermiştim komisyona. Çok da bir ilerleme kaydedememişler görünen o ki. Bari referans verselerdi.
Last updated