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From predicting how nanoparticles behave in the body to anticipating treatment resistance, AI is opening new possibilities for designing cancer therapies around increasingly complex patient data. Paper: Comprehensive overview of AI methodologies in nano-drug delivery…
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A computational framework based on non-equilibrium Green’s functions enables accurate and efficient predictions for nanoscale thermoelectric optimization. Credit:…
A microscopy image that shows SNAs (in red) taken up into leukemia cells. Cell nuclei shown in blue.…
Reviewed by Frances BriggsOct 29 2025 Engineers and clinicians have found that adding light-absorbing nanoparticles to surgical saline…
Evaporated FAPbI3 films exhibit good quality. Credit: arXiv: DOI: 10.48550/arxiv.2502.13609 Halide perovskites—already a focus of major research into…
This November in San Diego, top researchers and microscopy specialists will meet to exchange insights on the latest…
New research from the lab of Asst. Prof. Po-Chun Hsu (right) at the University of Chicago Pritzker School…
A pyrrole-fused aza-nanographene (fOPA) adopts a curved ladder-shaped structure and reversibly transforms from an open-shell diradical to a…
Credit: Molecular Therapy Oncology (2025). DOI: 10.1016/j.omton.2025.201037 In the quest for more targeted lung cancer treatments, a researcher…
Layered LiCoO₂ and corresponding SNED diffraction pattern highlighting atomic structure and interfacial phase transitions. Credit: Yoshifumi Oshima from…
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