Clinicians face an agonizing dilemma when immature cells appear in bone marrow post-treatment: is it healthy regrowth or returning cancer? New technology analyzing cell surface protein geography can predict with near-perfect precision which it is, allowing for immediate and appropriate clinical decisions.

Traditional 2D cell cultures can be misleading. Advanced 3D models, by reconstituting the tumor microenvironment with stromal cells, can uncover mechanisms of drug resistance (e.g., to ADCs) that are completely invisible in simpler systems, providing more clinically relevant data.

Bypassing complex gene sequencing, a new diagnostic from Asama Health leverages basic physics. It identifies cancerous DNA by measuring changes in electrical resistance caused by altered methylation patterns. This simple, disruptive approach promises a faster, more accessible method for early cancer detection.

T-cell receptor (TCR) therapies offer a significant advantage over monoclonal antibodies by targeting intracellular proteins. They recognize peptides presented on the cell surface, effectively unlocking 90% of the proteome and requiring far fewer target molecules (5-10 copies vs. 1000+) to kill a cancer cell.

To overcome on-target, off-tumor toxicity, LabGenius designs antibodies that act like biological computers. These molecules "sample" the density of target receptors on a cell's surface and are engineered to activate and kill only when a specific threshold is met, distinguishing high-expression cancer cells from low-expression healthy cells.

Cancer should be viewed not just as rogue cells, but as a complex system with its own supply chains and communication infrastructure. This perspective shift justifies novel therapies like Zelenorstat, which aim to dismantle this entire operating system by cutting its power source.

After immunotherapy, many colorectal cancer patients have residual nodules on scans that appear to be partial responses. However, ctDNA testing can confirm these are often just scar tissue, not active disease. This provides the confidence to stop therapy at the two-year mark and avoid unnecessary surgeries for what are effectively complete responses.

Infinitopes' platform uses immunopeptidomics to directly measure peptides on a tumor's surface. This contrasts with competitors like Moderna and BioNTech, who rely on computational predictions from DNA sequencing. This "measure, don't predict" approach aims for more reliable identification of potent immune targets.

Traditional methods like crystallography are slow and analyze purified proteins outside their native environment. A-muto's platform uses proteomics and AI to analyze thousands of protein conformations in living disease models, capturing a more accurate picture of disease biology and identifying novel targets.