Artificial Intelligence in Critical Care: Promise, Peril, and the Path Forward.

Artificial intelligence (AI) is poised to transform critical care by enhancing clinical decision-making, predictive accuracy, and operational efficiency. This editorial explores the expanding role of AI in intensive care units (ICUs), highlighting emerging applications such as predictive analytics, diagnostic imaging, real-time monitoring, and clinical decision support systems. Alongside these advances, the integration of AI presents critical challenges related to ethical implementation, regulatory oversight, clinician trust, and data interoperability.

Repositioning Drugs: A Computational Approach.

Computational drug repositioning has emerged as an efficient approach to discovering new indications for existing drugs, offering lower risk and cost compared to traditional drug discovery methods. Various computational approaches have been developed, including targetbased, gene-expression-based, phenome-based, and multi-omics-based methods. Recent advancements leverage diverse data sources, such as biomedical databases and online healthrelated information.

Carbon Quantum Dots Based Nanocomposite for Selective Mercury Detection.

The emergence of 2D carbon-based materials has a profound impact on various research areas, such as biosciences, electronics, optics, environmental protection, and monitoring. Mercury, a highly toxic pollutant, can cause severe health complications such as neural toxicity, insomnia, cognitive dysfunction, muscle atrophy, peripheral vision impairment, and emotional instability. A suitable 2D nanostructural interface is required to effectively monitor mercury levels in the environment.

Relationship Between COVID-19 and Linezolid-Resistant Enterococci: A Retrospective Single-Center Study.

Aim And Objectives: To evaluate the correlation between whether the COVID-19 pandemic turned out to be a great premise for increasing the incidence of linezolid resistance infections.

Materials And Method: The current retrospective study included data from March 2018 to March 2023 from a single center. The clinical records of the patients were reviewed to extract clinical data.

Comparative study of depotash vinasse and molasses as binder and production performance in lactating Murrah buffaloes.

Dairy sector has recently focused a lot of attention on the addition of agricultural by-products as functional feed additives as an environmentally friendly and sustainable technology. Depotash vinasse (DPV) serves as a cheap source of nutrients and a binder for animal feed in dairy sector. However, there is little information available on the usage of depotash vinasse on animals.

Two decades of two-photon lithography: Materials science perspective for additive manufacturing of 2D/3D nano-microstructures.

Two-photon lithography (TPL) is a versatile technology for additive manufacturing of 2D and 3D micro/nanostructures with sub-wavelength resolved features. Recent advancement in laser technology has enabled the application of TPL fabricated structures in several fields such as microelectronics, photonics, optoelectronics, microfluidics, and plasmonic devices. However, the lack of two-photon polymerizable resins (TPPRs) induces bottleneck to the growth of TPL to its true potential, and hence continuous research efforts are focused on developing efficient TPPRs.

Additive-Free All-Carbon Composite: A Two-Photon Material System for Nanopatterning of Fluorescent Sub-Wavelength Structures.

The major bottleneck in fabrication of engineered 3D nanostructures is the choice of materials. Adding functionality to these nanostructures is a daunting task. In order to mitigate these issues, we report a two-photon patternable all carbon material system which can be used to fabricate fluorescent 3D micro/nanostructures using two-photon lithography, with subwavelength resolution.