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Your Breath Could Reveal Cancer: How AI Is Changing Early Detection

A breath analyzer based on a hierarchical deep convolutional neural network (HD-CNN) framework can detect and classify cancer subtypes with accuracies of 95.1% and 98.1% for lung and gastric cancers, respectively. The sensor array within the device detects volatile organic compounds present in the breath of cancer patients and converts these signals into digital data for analysis.

Preclinical Screening of T-Cell Therapies

Preclinical screening strategy for T-cell therapies, developed by Sanderson and colleagues at the (Adaptimmune (ADAPY), provides a comprehensive framework to evaluate the safety and efficacy of T-cell therapies like CAR-T and SPEAR- T therapies, helping to minimize the unexpected toxicities before advancing engineered T cells into human trials.

Tecelra and MAGE-A4: A Safer, High-Affinity Adoptive T-Cell Immunotherapy

Tecelra, an affinity-enhanced MAGE-A4–specific TCR approved for its efficacy against metastatic synovial sarcoma with minimal off-target risk. The gene therapy showed strong antigen-specific cytokine release, effective tumor cell killing in 2D and 3D models, and dose-dependent tumor regression with complete survival in vivo with manageable alloreactivity and limited cross-reactivity.

Your Breath Could Reveal Cancer: How AI Is Changing Early Detection

Preclinical Screening of T-Cell Therapies

Tecelra and MAGE-A4: A Safer, High-Affinity Adoptive T-Cell Immunotherapy

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