AI Vision in Pathology: In the near future, pathology labs will look very different from the traditional model of glass slides and a single expert at a microscope.
know more:https://zurl.co/9HRFD
#AIVision #DigitalPathology #HealthcareAI #MedicalImaging #Diagnostics
The FDA has qualified AIM-NASH, the first AI histology tool used as a drug-development endpoint, to read liver biopsies in MASH trials. What happens when an algorithm helps decide if a drug works?
https://biotech.industryexaminer.com/fda-aim-nash-ai-liver-biopsy-mash-trials/
#biotech #AIinBiotech #liverdisease #MASH #digitalpathology #clinicaltrials #regulatoryscience #TechNews
When the FDA Starts Trusting Algorithms: What AIM-NASH Means for Liver Drug Trials - Biotech Industry Examiner

On 8 December 2025, the US Food and Drug Administration (FDA) tried to change that. It qualified AIM-NASH – an AI-based histology system developed by PathAI –

Biotech Industry Examiner

🔬 Digital pathology is no longer the future—it’s transforming diagnostics today.
AI, molecular biology, and cloud platforms are reshaping how pathologists work. From 99% diagnostic accuracy to faster workflows and real‑time global collaboration, digital pathology is changing patient care and precision medicine.

Read more 👉 https://blog.banishcancer.org/digital-pathology-the-future-is-now-healthcare-advancements/

#DigitalPathology #Oncology #AIinHealthcare #PrecisionMedicine #CancerDiagnostics #BanishCancer

POSTDOC IN DIGITAL PATHOLOGY

Post a job in 3min, or find thousands of job offers like this one at jobRxiv!

jobRxiv
Philips announces digital pathology scanner with native, configurable DICOM JPEG and JPEG XL output in world first

Philips announces digital pathology scanner with native, configurable DICOM JPEG and JPEG XL output in world first

Philips
I’m thrilled to attend #ECDP2025 with my group in Barcelona, Spain! It’s really a fun scientific community reunion, discussing the latest tea in #DigitalPathology and #AI :)

🧠 What if AI could diagnose brain tumors more accurately than humans?

A new deep learning system combines whole slide images and patient data—achieving 96.7% diagnostic accuracy for gliomas.

💡 Key insight: Multimodal AI + clinical fusion beats image-only methods.

Should AI co-pilot future medical decisions?

🔗 Full read on Blue Headline:
https://blueheadline.com/tech-breakthroughs/ai-diagnoses-brain-tumors/

#AI #HealthTech #DeepLearning #MachineLearning #BrainTumors #DigitalPathology #Transformers #CNN #BlueHeadline #Technology

🧠 AI Diagnoses Brain Tumors With 96.7% Accuracy—Here’s How It Works

AI diagnoses brain tumors with up to 96.7% accuracy using deep learning and clinical data fusion—see how it works and why it matters.

Blue Headline