Yesil Science / Blog

Oncology

Every article we have published: research summaries, product thinking and developments in health AI.

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Oncology · 314 articles

Genetics

AI Spotlights Hidden Pancreatic Cancer Metastases Pre-Surgery

A new machine learning model detects hidden liver metastases in pancreatic cancer before surgery, challenging standard surgical decision-making.

Computer Vision

AI Models Miss Esophageal Cancer Response Targets

AI algorithms built to confirm whether chemotherapy has eradicated esophageal tumors are not reliable enough to guide surgical decisions.

Machine Learning

AI Tracks Dynamic Glioblastoma Spread

Glioblastoma cells dynamically switch their movement strategies to evade standard cancer therapies.

Digital Therapeutics

Digital CBT Cuts Insomnia in Cancer Survivors

A tailored sleep app doubled insomnia remission rates for cancer survivors compared to basic sleep education.

Critical Care

Colorectal Cancer ICU Risk Model Fails External Validation

A machine learning model built to predict 28-day ICU mortality for severe colorectal cancer patients saw its predictive power plummet when tested...

Machine Learning

AI model predicts borderline ovarian tumor recurrence

A machine learning model predicts post-surgical tumor recurrence in young patients seeking to preserve fertility, giving surgeons a concrete data tool where...

Machine Learning

AI cuts missed airway nodules on chest CT

Radiologists reading low-dose CT scans routinely miss small airway nodules, delaying critical lung cancer interventions.

Critical Care

AI Predicts Fever Persistence in Cancer Patients

Predictive algorithms could curb unnecessary CT scans and antibiotic changes in cancer patients by identifying who will stop running a fever.

Genetics

Machine Learning Maps Immune Exhaustion in Colorectal Cancer

A new five-gene signature identified by machine learning links CD8+ T-cell exhaustion directly to poor survival and immunotherapy failure in colorectal cancer.

Machine Learning

Symbolic AI Digital Twins Guide Cancer Treatment

Black-box machine learning models struggle to gain oncologist trust because they cannot explain why a specific drug combination will kill a tumor.

Oncology

AI Model Cuts Unnecessary Breast Biopsies

Adding clinical data to ultrasound radiomics sharply improves breast cancer diagnostic accuracy, potentially sparing patients unnecessary biopsies.

Computer Vision

AI Automates Cervical Cancer Triage Across Screening Platforms

A locked AI algorithm successfully automates dual-stain cytology triage for cervical cancer screening, matching expert readers without requiring platform-specific retraining.