Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However, biomarkers that can reliably distinguish treatment responders from nonresponders, predict potential life-threatening and life-changing drug-induced toxicities, or rationalize treatment choices are still lacking. In response to this unmet clinical need, we introduce Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity, a tumor type-agnostic platform to provide deep profiling of patients receiving immunotherapy that will enable integrative identification of biomarkers and discovery of novel targets using artificial intelligence and machine learning.

This study aims to estimate the number of AMY2B gene copies and measure serum amylase activity in several Balkan dog breeds. Additionally, it explores the relationship between these genetic and biochemical parameters. Blood samples from 85 dogs representing eight breeds were collected, DNA was extracted, and AMY2B copy numbers were determined using droplet digital PCR. AMY2B gene copies ranged from 7.7 to 18.4, with a mean of 12.4 ± 2.2. Significant breed-related differences were observed (p = 0.025), with Istrian Wire-Haired Hounds showing the highest mean copy number (13.9 ± 1.5) and Posavatz Hounds the lowest (10.8 ± 1.5). Serum amylase activity ranged from 3.3 to 17.8 µkat/L, with a mean of 8.7 ± 2.6, and showed significant interbreed differences (p = 0.004), with Barak breed displaying the highest activity. Serum glucose levels varied widely, but no significant interbreed differences were detected (p = 0.340). No significant correlation was found between AMY2B copy numbers and serum amylase activity or glucose levels. The study concludes that Balkan dogs have AMY2B copy numbers similar to other European breeds, likely reflecting historical agricultural practices in the region, thereby facilitating better starch digestion. While significant variations exist among breeds, the lack of correlation between gene copy number and amylase activity suggests that other factors influence enzyme levels.

This work developed and evaluated a rapid, cost‐effective, and mobile analytical method for the quantification of stabilizers in nitrocellulose‐based propellants, using thin‐layer chromatography and image densitometry. The method demonstrated effectiveness in the separation and quantification of diphenylamine and N‐nitrosodiphenylamine, showing linearity, accuracy, and precision for concentrations above 0.3 wt%. To address limitations at low concentrations, a screening test approach with a cutoff value of 0.3 wt% was proposed. Innovations included a custom‐built dark chamber to improve photographic records, and a custom script for automated image analysis, using open‐source software. The developed analytical procedure, along with the supporting tools created, offers a promising solution for rapid and efficient field monitoring of nitrocellulose‐based propellant stability, with the potential to complement existing laboratory methods in ammunition surveillance.

This study introduces an AI-based framework for stroke diagnosis that merges clinical data and curated imaging data. The system utilizes traditional machine learning and advanced deep learning techniques to tackle dataset imbalances and variability in stroke presentations. Our approach involves rigorous data preprocessing, feature engineering, and ensemble techniques to optimize the predictive performance. Comprehensive evaluations demonstrate that gradient-boosted models outperform in accuracy, while CNNs enhance stroke detection rates. Calibration and threshold optimization are utilized to align predictions with clinical requirements, ensuring diagnostic reliability. This multi-modal framework highlights the capacity of AI to accelerate stroke diagnosis and aid clinical decision making, ultimately enhancing patient outcomes in critical care.

Honeydew honey (HH) is a distinctive type of honey known for its dark colour, high mineral and polyphenol content, and pronounced biological activity. This study continues previous research on beech and chestnut honeydew honeys by presenting a comprehensive analysis of linden honeydew honey (LHH) from Bosnia and Herzegovina—a variety that, until now, has not been characterised in detail. Physicochemical parameters confirmed its classification as HH, with high electrical conductivity (1.21 mS/cm) and low moisture (15.1%). GC-MS analysis revealed a unique volatile profile dominated by α-terpinolene (17.4%), distinguishing LHH from other HH types. The sample exhibited high total phenolic content (816.38 mg GAE/kg) and moderate antioxidant capacity (1.11 mmol TE/kg). Antimicrobial testing demonstrated strong activity against Staphylococcus aureus and Methicillin-resistant Staphylococcus aureus (MRSA), with lower efficacy against Gram-negative bacteria. No cytotoxic effects were observed in HaCaT keratinocytes at concentrations up to 60 mg/mL, and wound healing assays showed improved scratch closure reaching approximately 30% after 24 h and 41% after 48 h compared to the control. These results indicate that LHH possesses promising bioactive properties and potential for dermatological application. Further studies with broader sample sets are needed to explore variability and confirm the therapeutic relevance of LHH in comparison to other honeydew types.

Background: Primary hypothermia occurs when the body is exposed to extremely low temperatures in an environment with no underlying health conditions. Secondary hypothermia, on the other hand, results from disruptions in thermoregulation due to diseases, trauma, surgery, drugs, alcohol, or infections. Postmortem biochemistry has become a crucial factor in forensic examinations, offering valuable apprehension into tissue of and organ dysfunction associated with the process of dying. Aim: This research aims to explore various biochemical markers and their significance in distinguishing primary from secondary hypothermia. Methods: This study involved 21 Wistar rats, which were separated into three experimental groups: CG (n = 7), which were exposed only to hypothermic conditions; AHG (n = 7); and BHG (n = 7). We tested these parameters in each rat: glucose, urea, creatinine, blood urea nitrogen to creatinine ratio, phosphorus, calcium, sodium, potassium, sodium to potassium ratio, chloride, and calculated osmolality. Results: Distinct biochemical differences were noted between primary and secondary hypothermia. Glucose and creatinine levels exhibited significant variations (p < 0.001). Urea concentrations also manifested notable differences between the groups (p < 0.001). Phosphorus levels demonstrated significant differences (p = 0.004), with post hoc analyses revealing significant contrasts between the AHG and BHG (p = 0.014) and between the BHG and CG (p = 0.014). Potassium levels and the sodium-to-potassium ratio differed significantly (p < 0.001). Osmolality also varied significantly across experimental groups (p < 0.001), with post hoc tests confirming significant differences between the AHG and CG (p = 0.013) and between the BHG and CG (p = 0.002). Conclusion: The calculated osmolality exhibited significant variation among the different groups, indicating a notable impact of the substances on the biochemical profile related to hypothermia. This study focused on the effectiveness of biochemical markers in distinguishing primary hypothermia from secondary hypothermia.