Thus, far from being an anarchic accident, cancer follows an orderly programme. "The challenge is therefore to find the keys to understanding its logic and form. And, in the case of metastases, to ...

By profiling gene expression in colon cancer cell clones, researchers identified signatures linked to metastatic risk and built an AI model that predicts spread and recurrence with high accuracy.

Why do some tumors spread while others remain localized? The mechanisms governing the metastatic potential of tumor cells ...

Published on UNIGE scientists developed an algorithm able to anticipate the risk of cancer metastasis and recurrence. Group of human colon ...

Why do some tumours spread while others remain localised? The mechanisms governing the metastatic potential of tumour cells remain largely unknown — yet understanding this is crucial for optimising ...

From movement detection to real-time adjustments, the process shows how robotics mimic natural human motion. Psychologists react to that post from Trump about Rob Reiner's death US officials warn ...

Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has generated over a dozen FDA-approved therapeutics and drugs in late-stage ...

A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were informally ...