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Scorpion venom and AI are shaping the future of cancer treatment

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Scientists are uncovering surprising new cancer treatments inspired by venom, engineered proteins, and advanced AI.

Many people know the uneasy feeling of waiting for medical news, hoping that treatments are becoming more effective and less brutal.

With cancer touching so many families, the desire for new solutions has never felt more urgent.

What often seems like science fiction one year can become a real therapeutic possibility the next, and researchers across several countries are now exploring frontiers that would have seemed impossible a decade ago.

New hope from unexpected sources

In Brazil, scientists at the University of São Paulo have been examining venom from Amazonian scorpions and snakes to identify molecules with the potential to kill cancer cells.

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Their work, presented at FAPESP Week France, highlights compounds that can trigger cell death in breast cancer in ways that mirror established chemotherapy drugs.

Teams working with the National Institute for Amazonian Research and Amazonas State University have also identified peptides with promising anti-tumor activity.

Turning toxins into technology

Researchers connected to São Paulo State University and the Center for the Study of Venoms and Venomous Animals are developing engineered versions of venom-based proteins.

Some of these efforts focus on improving fibrin sealants originally created from rattlesnake enzymes.

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Others involve lab-made growth factors aimed at enhancing tissue repair. On a different front, scientists at the State University of Campinas are advancing radiotheranostics, a method that uses targeted radioactive markers to both detect and treat cancer in one streamlined approach.

A wider push toward personalized therapies

At the University of São Paulo’s Biomedical Sciences Institute, researchers are building patient-specific vaccines made from hybrid dendritic cells, hoping to strengthen the immune system’s ability to recognize tumors.

Meanwhile, teams in Toulouse are testing whether artificial intelligence can interpret MRI scans well enough to predict treatment outcomes for aggressive brain cancers.

Together, these approaches show how venom proteins, radioisotopes and AI are reshaping expectations for future cancer therapies.

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The article is based on information from ScienceDaily

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