Results 81 to 90 of about 186,102 (296)
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian +6 more
wiley +1 more source
Mubashar Rehman,1 Asadullah Madni,1 Ayesha Ihsan,2 Waheed Samraiz Khan,2 Muhammad Imran Khan,1 Muhammad Ahmad Mahmood,1 Muhammad Ashfaq,1 Sadia Zafar Bajwa,2 Imran Shakir31Department of Pharmacy, Faculty of Pharmacy and Alternative Medicine, The Islamia ...
Rehman M +8 more
doaj
Use of single-chain antibody derivatives for targeted drug delivery [PDF]
Single-chain antibodies (scFvs), which contain only the variable domains of full-length antibodies, are relatively small molecules that can be used for selective drug delivery.
Ahmadzadeh, V. +5 more
core +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Innovative Agents for Actinic Keratosis and Nanocarriers Enhancing Skin Penetration [PDF]
Actinic keratosis and cutaneous squamous cell carcinoma are of increasing importance with aging and increased ultraviolet light exposure in Western societies. Efficient and well-tolerated therapy is still a matter of concern.
Höltje, H.-D. +3 more
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Phototriggerable Liposomes: Current Research and Future Perspectives
The field of cancer nanomedicine is considered a promising area for improved delivery of bioactive molecules including drugs, pharmaceutical agents and nucleic acids. Among these, drug delivery technology has made discernible progress in recent years and
Anu Puri
doaj +1 more source
Xylem surfactants introduce a new element to the cohesion-tension theory [PDF]
Vascular plants transport water under negative pressure without constantly creating gas bubbles that would disable their hydraulic systems. Attempts to replicate this feat in artificial systems almost invariably result in bubble formation, except under ...
Do, Aissa YT +10 more
core +1 more source
Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy
In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova +21 more
wiley +1 more source

