Guan’s group reports a nanorobot with ultrasensitive chemotaxis for precision cancer therapy. After intravenous injection, the nanorobots achieved a 209-fold increase in tumor targeting efficiency compared with conventional passive nanocarriers. When loaded with only 1% of the dose of anticancer drugs, the nanorobots achieved a tumor growth inhibition rate of up to 92.7%. The nanorobots boost the tumor suppression efficacy by approximately 49-fold compared with the passive counterparts.

Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) have developed an innovative microscopy technique capable of improving the observation of living cells. The study, published in the journal Optics Letters, paves the way for a more in-depth analysis of numerous biological processes without the need for contrast agents. The next step will be to enhance this technique using artificial intelligence, opening the door to a new generation of optical microscopy methods capable of combining direct imaging with innovative molecular information.

Osaka Metropolitan University researchers have developed a polymerization technology that enables the synthesis of degradable polymer capsules in aqueous solvents without any initiators or catalysts by irradiating light-reactive monomers derived from natural products.

TU Graz is launching the COMET project AutoForst for digitalisation and automation of the forestry value chain. The research project has a budget of 6 million euros and is being implemented in collaboration with three other universities and more than 20 industrial partners.

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited measurement data within a neural network. It reduces the heavy reliance of conventional machine learning–based models on scarce and costly field measurements while achieving improved prediction accuracy.