Researchers developed a faster method to produce drug-loaded polymer nanoparticles that target tumors and reduce chemotherapy side effects in cancer treatment.
Controlling the arrangement of atomic vacancies offers a new way to adjust electronic, magnetic, thermal, and hydrogen storage properties in crystalline materials.
Scientists demonstrate the capabilities of quantum machine learning by creating a model that was able to predict proton affinity more accurately than classical computing.
Researchers are developing a 3D-printed skin imitation equipped with living cells in order to test nanoparticles from cosmetics without animal testing.
Researchers developed graphene oxide nanoparticles that combine chemotherapy, immune activation, and photothermal heating to effectively destroy tumors.