Life begins with a single fertilized cell that gradually transforms into a multicellular organism. This process requires precise coordination; otherwise, the embryo could develop serious complications. Scientists at ISTA have now demonstrated that the zebrafish eggs, in particular their curvature, might be the instruction manual that keeps cell division on schedule and activates the appropriate genes in a patterned manner to direct correct cell fate acquisition. These insights, published in Nature Physics, could help improve the accuracy of embryo assessments in IVF.

A review paper by scientists at Imperial College London explores groundbreaking techniques that integrate interpersonal interactions within therapy and healthcare, focusing on multiplayer games that strengthen real-time social connections, alongside social robots and virtual agents designed to simulate human-like affective interactions.

Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the answer appears to lie not in genetic differences, but in biological noise — random fluctuations in molecular activity that occur even among genetically identical cells.

Biological systems are inherently noisy, as molecules inside living cells are produced, degraded, and interact through fundamentally random processes. Understanding how biological systems cope with such fluctuations — and how they might be controlled — has been a long-standing challenge in systems and synthetic biology.

Although modern biology can regulate the average behavior of a cell population, controlling the unpredictable fluctuations of individual cells has remained a major challenge. These rare “outlier” cells, driven by stochastic variation, can behave differently from the majority and influence system-level outcomes.

A research paper by scientists from Beijing Institute of Technology investigated the anti-tumor effect of millimeter waves (MMWs) alone and in combination with the anti-programmed cell death-ligand 1 (α-PD-L1) antibody in a 4T1 “cold tumor” model.