Clinicians ability to monitor oxygen support of fetuses during labor is extremely inadequate. This is critical because insufficient oxygen support of unborn babies significantly increases the risks for infant and maternal health. With support from a newly awarded contract from the ARPA-H MOCS program, researchers at the Wyss Institute at Harvard University across several of its Technology Platforms and faculty labs join forces to address this critical unmet need in maternal and women’s health.

AI is increasingly being used to help analyze police bodycam recordings, but new research from Princeton Engineering shows that in 1 out of 4 cases the models can’t identify basic details, like whether an officer handcuffed someone or drew a gun. 

A new study from the University of Kansas shows that additives common to commercially available vaping devices, vitamin E and CBD, soften a vital lung surfactant at high enough concentrations, at least in a simplified lab model.

What happens when water, ice and more thunder down into a valley? Researchers from ETH Zurich and the WSL Institute for Snow and Avalanche Research SLF are investigating this using an accurate 3D model of the area around Blatten. The experiments aim to improve computer models and help to more reliably assess risks to settlements and infrastructure.

Bone repair depends on skeletal progenitor cells (SPCs) moving to injured areas and developing into bone-forming cells, but how these cells respond to their surroundings remains unclear. A study published in the International Journal of Oral Science shows that two collagen receptors, β1 integrin and DDR2, work together to regulate SPC migration, proliferation, and differentiation during cranial bone regeneration. The findings reveal a cooperative mechanism that could guide strategies to enhance bone repair.

Digital pathology relies on high-resolution imaging for accurate cancer diagnosis, yet high-magnification systems remain slow and costly for large-scale screening. Meanwhile, standard AI super-resolution often generates hallucinated cellular artifacts that risk diagnostic accuracy. To overcome this, researchers developed a hybrid bright-dark field computational framework using fast LED illumination to provide physical guidance. This physics-guided approach doubles spatial resolution, reduces reconstruction artifacts by 84%, and boosts AI cancer screening sensitivity by 11.14%.

Untangling the meta-biomaterial puzzle one property at a time

From repairing damaged tissues to developing better implants, many medical developments depend on materials that can mimic the complex properties of human tissue. Meta-biomaterials are among the most promising candidates. By tailoring their geometry, researchers can create materials with properties similar to those of natural tissues. But there is a catch: changing one property often changes several others at the same time. TU Delft scientists have now developed a method to decouple these properties. Their work, published in Nature Communications, helps to understand how individual material properties influence cell behaviour and could accelerate the development of next-generation biomaterials.