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Updated Sep 22, 2026
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Single-molecule tracker illuminates workings of cancer-related proteins

A team of researchers has developed advanced microscopy and nanotechnology techniques to monitor the activity of individual proteins in real-time. This innovative approach allows scientists to gain unprecedented insights into protein dynamics, which are crucial for understanding various biological p...

MITNews Academic & Research

Do We Really Need Smarter AI to Cure Cancer?

Major tech companies like Meta and OpenAI are heavily investing in the development of artificial general intelligence (AGI) and artificial superintelligence (ASI), with estimates suggesting over a trillion dollars has already been allocated to artificial intelligence (AI) initiatives. Despite the ex...

IEEESpectrumAI Academic & Research

AI identifies early risk patterns for skin cancer

A comprehensive study conducted in Sweden has demonstrated that artificial intelligence can effectively identify individuals at an elevated risk of melanoma by analyzing routine health data. The research revealed that advanced AI models significantly surpassed traditional methods in accuracy, succes...

ScienceDaily.com Academic & Research

AI maps the hidden forces shaping cancer survival worldwide

A team of researchers has harnessed artificial intelligence to gain insights into the stark disparities in cancer survival rates globally. By examining cancer data and health system information from 185 countries, the AI model identifies key factors influencing survival outcomes. Notably, it highlig...

ScienceDaily.com Academic & Research

A new tool is revealing the invisible networks inside cancer

Spanish researchers have developed a groundbreaking open-source tool named RNACOREX, designed to uncover the complex genetic networks that drive cancer. This innovative software can analyze thousands of molecular interactions simultaneously, providing insights into how genes communicate within tumor...

ScienceDaily.com Academic & Research

AI detects cancer but it’s also reading who you are

Recent research has revealed that artificial intelligence tools developed for diagnosing cancer from tissue samples are capable of inferring patient demographics from pathology slides, which can result in biased outcomes for specific groups. This bias is attributed to the training methods and the da...

ScienceDaily.com Academic & Research
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