Results 181 to 190 of about 265,527 (339)

Roll‐To‐Roll Production of Smart Dressings for Wound Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
This study presents a roll‐to‐roll manufactured smart wound dressing capable of visually monitoring key wound biomarkers, including pH, humidity, and temperature. By integrating colorimetric sensors into flexible dressing substrates, the device offers real‐time, equipment‐free insights for infection detection and wound management, representing a ...
Ziheng Wang   +14 more
wiley   +1 more source

FT-IR Analysis of P. aeruginosa Bacteria Inactivation by Femtosecond IR Laser Radiation. [PDF]

open access: yesInt J Mol Sci, 2023
Saraeva I   +9 more
europepmc   +1 more source

Digitonin‐Loaded Nanoscale Metal–Organic Framework for Mitochondria‐Targeted Radiotherapy‐Radiodynamic Therapy and Disulfidptosis

open access: yesAdvanced Materials, EarlyView.
A mitochondria‐targeted cationic nanoscale metal organic framework shows strong radiotherapy‐radiodynamic therapy effects and selectively releases digitonin in acidic tumor microenvironments to induce disulfidptosis of cancer cells and downregulate immune checkpoints in cancer and T cells, thereby eliciting strong antitumor immunity to effectively ...
Wenyao Zhen   +7 more
wiley   +1 more source

FT-IR spectroscopy of fine-grained planetary materials [PDF]

open access: yes, 2003
Grady, M.M., Jones, G.C., Morlok, A.
core  

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties. [PDF]

open access: yesPlants (Basel)
Kolašinac SM   +6 more
europepmc   +1 more source

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