Advanced Targeted Therapy for Colorectal Cancer with Lipid Nanoparticles.

Targeted therapy for colorectal cancer (CRC) appears to have great potential with lipid nanoparticles (LNPs). The advances in LNP-based techniques, such as liposomes, exosomes, micelles, solid lipid nanoparticles (SLNs), nano-cubosomes, and plant- derived LNPs (PDLNPs), are explored in detail in this thorough review. Every platform provides distinct advantages: liposomes enable precise drug release and improved delivery; exosomes function as organic nanocarriers for focused treatment; SLNs offer greater stability; micelles enhance drug solubility and resistance; nano-cubosomes tackle low bioavailability; and PDLNPs offer biocompatible substitutes.

Novel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.

Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.

Advances in Dendritic Systems and Dendronized Nanoparticles: Paradigm Shifts in Cancer Targeted Therapy and Diagnostics.

Cancer has emerged as a global health crisis, claiming millions of lives annually. Dendrimers and dendronized nanoparticles, a novel class of nanoscale molecules with highly branched three-dimensional macromolecular structures, have gained significant attention in cancer treatment and diagnosis due to their unique properties. These dendritic macromolecules offer a precisely controlled branching architecture, enabling functionalization with specific targeting molecules to enhance the selective delivery of therapeutic agents to tumor cells while minimizing systemic toxicity.

Development of High-Resolution Melting Curve Analysis for rapid detection of SEC23B gene mutation causing Congenital Dyserythropoietic Anemia type II in Indian population.

Background: Congenital dyserythropoietic anemias (CDAs) are a very rare and heterogeneous group of disorders characterized by ineffective erythropoiesis. CDA II is caused by mutations in the SEC23B gene. The most common mutation reported in India is c.