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Laser-induced breakdown spectroscopy (LIBS)--based imaging is becoming a promising technique in the panel of spatially resolved elemental approaches. This method has outstanding advantages, such as all-optical instrumentation, fast acquisition speed, operation at ambient atmosphere, and detection limits at the ppm scale for most elements. LIBS-based imaging has an extensive range of applications, including biology, medicine, industry, and geology. In this paper, we report on recent advances in LIBS imaging, focusing on instrumentation, performance, and applicability. Two examples are shown: first, a speleothem with application to paleoclimate studies, and second, a biological organ with implications for toxicology of new drugs based on nanoparticles. Finally, some future directions are discussed., In the past few years, the application of laser-induced breakdown spectroscopy (LIBS) to microscopic elemental imaging has seen significant developments, in terms of both instrumentation and applications (1-4). In LIBS [...]

Gene and RNA-based therapeutics represent a promising frontier in oncology, enabling targeted modulation of tumor-associated genes and proteins. This review explores the latest advances in payload vectorization and delivery systems developed for in vivo cancer treatments. We discuss viral and non-viral organic particles, including lipid based nanoparticles and polymeric structures, for the effective transport of plasmids, siRNA, and self-amplifying RNA therapeutics. Their physicochemical properties, strategies to overcome intracellular barriers, and innovations in cell-based carriers and engineered extracellular vesicles are highlighted. Moreover, we consider oncolytic viruses, novel viral capsid modifications, and approaches that refine tumor targeting and immunomodulation. Ongoing clinical trials and regulatory frameworks guide future directions and emphasize the need for safe, scalable production. The potential convergence of these systems with combination therapies paves the way toward personalized cancer medicine.

Background: The recent surge in the capabilities of artificial intelligence systems, particularly large language models, is also impacting the medical and pharmaceutical field in a major way. Beyond specialized uses in diagnostics and data discovery, these tools have now become accessible to the general public., Aim: The study aimed to critically analyse the current performance of large language models in answering patient's self-care questions regarding medications and supplements., Method: Answers from six major language models were analysed for correctness, language-independence, context-sensitivity, and reproducibility using a newly developed reference set of questions and a scoring matrix., Results: The investigated large language models are capable of answering a clear majority of self-care questions accurately, providing relevant health information. However, substantial variability in the responses, including potentially unsafe advice, was observed, influenced by language, question structure, user context and time. GPT 4.0 scored highest on average, while GPT 3.5, Gemini, and Gemini Advanced had varied scores. Responses were context and language sensitive. In terms of consistency over time, Perplexity had the worst performance., Conclusion: Given the high-quality output of large language models, their potential in self-care applications is undeniable. The newly created benchmark can facilitate further validation and guide the establishment of strict safeguards to combat the sizable risk of misinformation in order to reach a more favourable risk/benefit ratio when this cutting-edge technology is used by patients., Competing Interests: Conflicts of interest: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© 2024. The Author(s).)

Chemoradiation therapy is on the forefront of pancreatic cancer care, and there is a continued effort to improve its safety and efficacy. Liposomes are widely used to improve chemotherapy safety, and may accurately deliver high-Z element- radiocatalytic nanomaterials to cancer tissues. In this study, the interaction between X-rays and long-circulating nanoliposome formulations loaded with gold nanoclusters is explored in the context of oxaliplatin chemotherapy for desmoplastic pancreatic cancer. Hydrophobic gold nanoclusters stabilized with dodecanethiol (AuDDT) are efficiently incorporated in nanoliposomal bilayers. AuDDT-nanoliposomes significantly augmented radiation-induced • OH production, which is most effective with monochromatic X-rays at energies that exceed the K-shell electron binding energy of Au (81.7 keV). Cargo release assays reveal that AuDDT-nanoliposomes can permeabilize lipid bilayers in an X-ray dose- and formulation-dependent manner. The radiocatalytic effect of AuDDT-nanoliposomes significantly augments radiotherapy and oxaliplatin-chemoradiotherapy outcomes in 3D pancreatic microtumors. The PEGylated AuDDT-nanoliposomes display high tumor accumulation in an orthotopic mouse model of pancreatic cancer, showing promise for nanoliposomes as carriers for radiocatalytic nanomaterials. Altogether, compelling proof for chemo-radiation dose-enhancement using AuDDT-nanoliposomes is presented. Further improving the nanoliposomal loading of high-Z elements will advance the safety, efficacy, and translatability of such chemoradiation dose-enhancement approaches., (© 2024 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.)

Aza-BODIPYs represent a class of fluorophores in which the π-conjugated system is rigidified and stabilized by a boron atom. A promising strategy to enhance their fluorescence properties involves replacing the boron atom with a metal ion. Here, we describe the synthesis and characterization of a water-soluble derivative where the metal is a gallium(III) ion, termed WazaGaY (water-soluble aza-GaDIPY). Water solubility is ensured by two ammonium substituents, inducing a bathochromic shift and a significant increase in quantum yield compared to that of the dimethylamino analog. The cellular behavior of WazaGaY-1 was observed across different tumor cells. In vivo , the distribution and safety profiles were determined, and tumor uptake was assessed in various tumor types. Following intravenous injection, WazaGaY-1 enabled clear discrimination of tumors engrafted subcutaneously in mice with high tumor-to-muscle ratios (ranging from 7 to 20), even in the absence of specific conjugation. Its potential as a contrast agent for fluorescence-guided surgery was confirmed.

Laser-induced breakdown spectroscopy (LIBS) imaging continues to gain strength as an influential bioanalytical technique, showing intriguing potential in the field of clinical analysis. This is because hyperspectral LIBS imaging allows for rapid, comprehensive elemental analysis, covering elements from major to trace levels consistently year after year. In this study, we estimated the potential of a multivariate spectral data treatment approach based on a so-called convex envelope method to detect exotic elements (whether they are minor or in trace amounts) in biopsy tissues of patients with occupational exposure-related diseases. More precisely, we have developed an approach called Interesting Features Finder (IFF), which initially allowed us to identify unexpected elements without any preconceptions, considering only the set of spectra contained in a LIBS hyperspectral data cube. This task is, in fact, almost impossible with conventional chemometric tools, as it entails identifying a few exotic spectra among several hundred thousand others. Once this detection was performed, a second approach based on correlation was used to locate their distribution in the biopsies. Through this unique data analysis pipeline to processing massive LIBS spectroscopic data, it was possible to detect and locate exotic elements such as tin and rhodium in a patient's tissue section, ultimately leading to a possible reclassification of their lung condition as an occupational disease. This review will thus demonstrate the potential of this new diagnostic tool based on LIBS imaging in addressing the shortcomings of approaches developed thus far. The proposed data processing approach naturally transcends this specific framework and can be leveraged across various domains of analytical chemistry, where the detection of rare events is concealed within extensive data sets.