Artificial Intelligence in Gas Sensing: A Review.

The role of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing and automating gas sensing methods and the implications of these technologies for emergent gas sensor systems is reviewed. Applications of AI-based intelligent gas sensors include environmental monitoring, industrial safety, remote sensing, and medical diagnostics. AI, ML, and DL methods can process and interpret complex sensor data, allowing for improved accuracy, sensitivity, and selectivity, enabling rapid gas detection and quantitative concentration measurements based on sophisticated multiband, multispecies sensor systems.

Prevalence and Associated Factors of Hypercalcemia of Malignancy Among Advanced Cancer Patients Attending Palliative Care Unit of a Tertiary Care Hospital in Bangladesh.

Background: Hypercalcemia is a common complication of advanced malignancy and a palliative care emergency. Its incidence increases in the later stages of the disease and is linked to a poor prognosis. Understanding the prevalence, clinical characteristics, and factors associated with malignancy-related hypercalcemia is crucial for developing targeted interventions and enhancing overall palliative care for advanced cancer patients.

CpG oligodeoxynucleotides and pan-serotype inhibitors control neurotropic Dengue infection in novel immune competent neonatal mouse model.

Dengue virus (DENV) is a growing global public health threat. The lack of symptomatic immune competent animal models for Dengue has hindered the screening and development of effective therapeutics that can be used to control dengue virus replication and thereby control the progression to severe dengue disease. To address this, we established an infection model in neonatal C57BL/6 mice and showed that a systemic Dengue challenge leads to ataxia, seizures, paralysis, and death within 15 days.

Survival predictors of older cancer patients in Bangladesh: A multicenter study.

Introduction: The aging of the global population has led to an increased prevalence of cancer among older adults, particularly in Asia and in low- and middle-income countries. This demographic shift presents unique challenges to healthcare delivery, especially in developing countries like Bangladesh. This study aims to analyze survival outcomes and epidemiological patterns of elderly cancer patients in Bangladesh, addressing a critical knowledge gap in geriatric oncology in low- and middle-income countries METHODS: A 27-month prospective cohort study, conducted from October 2021 to January 2024 across three hospitals in Bangladesh, included 862 cancer patients aged 60 and older, 581 of whom completed the full study period.

Evaluation of In Vitro and In Vivo Pharmacological Activity of With In Silico Approaches.

is used by traditional medicinal practitioners to treat various diseases. The methanol extract (MES) and its fractions, including petroleum ether (PES), carbon tetrachloride (TES), chloroform (CES), and aqueous soluble fractions (AES), were tested for their antioxidant, cytotoxic, analgesic, and sedative properties on Swiss albino mice. In addition, we used GCMS to determine the bioactive compounds present in the MES of .