A research paper by scientists from Sun Yat-sen University Cancer Center represented the largest prospective validation to date of AI-based treatment planning for NPC, demonstrating real-time feasibility, robust generalizability, and consistent clinical quality.

The new research paper, published on May. 18 in the journal Cyborg and Bionic Systems, developed and clinically validated a deep‑learning‑based automated planning system that generates high‑quality treatment plans in real time – within an integrated CT‑linear accelerator (CT‑linac) “all‑in‑one” (AIO) workflow.

MIT researchers developed a new approach to ultrasound imaging that allows the user to visualize a 3D, augmented-reality image of the object being scanned. This technique could be deployed in hospitals or used to assist training technicians in ultrasound interpretation.

 

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to their patients’ tumors. 

BUFFALO, NY- June 9, 2026 – A new research paper was recently published in Volume 17 of Genes & Cancer, titled “Active Beta-Catenin (ABC) promotes an invasive phenotype in pediatric osteosarcoma.”

Dr Josep Maria Ribera, head of the Acute Lymphoblastic Leukaemia laboratory at the Josep Carreras Leukaemia Research Institute, has been awarded the prestigious EHA Clinical Excellence Award 2026. This distinction recognises his outstanding scientific and clinical contributions to the clinical haematology, his leadership in the international blood cancer research community and his long-lasting commitment to training and mentoring the new generations of haematologists.

 A cancer researcher at the University of Houston is reporting what makes malignant soft tissue cancer grow in children, identifying key mechanisms and molecular targets to prevent tumor progression in patients in future therapies of the fatal rhabdomyosarcoma.