An in-depth review of AI-powered advancements in cancer drug discovery.

The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep learning and advanced data analytics, in accelerating key stages of the drug discovery process: target identification, drug design, clinical trial optimization, and drug response prediction. Cutting-edge tools such as DrugnomeAI and PandaOmics have made substantial contributions to therapeutic target identification, while AI's predictive capabilities are driving personalized treatment strategies.

Atmospheric pressure spatial atomic layer deposition of p-type CuO thin films from copper(II) acetylacetonate and ozone for UV detection.

Cupric oxide (CuO) is a promising p-type semiconducting oxide used in many critical fields, such as energy conversion and storage, and gas sensors, which is attributed to its unique optoelectrical properties and cost-effectiveness. This work successfully deposited amorphous, pinhole-free, ultrathin CuO films using atmospheric pressure spatial atomic layer deposition (SALD) with copper(II) acetylacetonate and ozone as precursors. The growth rate increased from 0.

STI/HIV risk prediction model development-A novel use of public data to forecast STIs/HIV risk for men who have sex with men.

A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, and Ensemble learning GBM-RF-XG Boost are applied and evaluated on the Demographic and Health Surveys Program (DHSP), with thirteen features ultimately selected as the most predictive features. Classification and generalization experiments are conducted to test the accuracy, F1-score, precision, and area under the curve (AUC) performance of these four algorithms.

Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging.

Predicting long-term recurrence of disease in breast cancer (BC) patients remains a significant challenge for patients with early stage disease who are at low to intermediate risk of relapse as determined using current clinical tools. Prognostic assays which utilize bulk transcriptomics ignore the spatial context of the cellular material and are, therefore, of limited value in the development of mechanistic models. In this study, Fourier-transform infrared (FTIR) chemical images of BC tissue were used to train deep learning models to predict future disease recurrence.

The diagnostic accuracy of umbilical cord procalcitonin in predicting early-onset neonatal infection.

Introduction: To determine the threshold of umbilical cord blood procalcitonin for early-onset neonatal infection diagnosis.

Method: This prospective study was conducted on 126 neonates in the neonatal care unit of Hue University of Medicine and Pharmacy Hospital, Vietnam, from June 01, 2023 to August 31, 2024. All neonates showed signs at birth or risk factors for early-onset infection (EOI) and were divided into two groups: EOI group and non-EOI group.

Open Partial Horizontal Laryngectomy in the Elderly: Oncological and Functional Outcomes.

Objectives: The aim of the present study was to investigate the oncological and functional prognostic implication of perioperative risk factors in the elderly patient who underwent open partial horizontal laryngectomy (OPHL).

Study Design: A single institution, retrospective case-cohort study.

Methods: The present study retrospectively reviewed the clinical charts of a cohort of 100 elderly laryngeal squamous cell carcinoma (LSCC) patients who underwent OPHL at our institution.

Optimized synthesis of biphasic calcium phosphate: enhancing bone regeneration with a tailored β-tricalcium phosphate/hydroxyapatite ratio.

Biphasic calcium phosphate (BCP) is a bioceramic widely used in hard tissue engineering for bone replacement. BCP consists of β-tricalcium phosphate (β-TCP) - a highly soluble and resorbable phase - and hydroxyapatite (HA) - a highly stable phase, creating a balance between solubility and resorption, optimally supporting cell interactions and tissue growth. The β-TCP/HA ratio significantly affects the resorption, solubility, and cellular response, with a higher β-TCP ratio increasing resorption due to its solubility.

Temperature Dependence of Optical Properties of MoS and WS Heterostructures Assessed by Spectroscopic Ellipsometry.

We report the complex dielectric function = + of MoS/WS and WS/MoS heterostructures and their constituent monolayers MoS and WS for an energy range from 1.5 to 6.0 eV and temperatures from 39 to 300 K.

Comparative phenotypic and proteomic analysis of colistin-exposed .

Introduction: The emergence of colistin resistance threatens the treatment of infections.

Methods: In this study, in vitro development of colistin resistance was investigated using comparative phenotypic and proteomic analysis of ATCC 9027, its 14-day colistin sub-MIC exposed strain (Col-E1), and 10-day antibiotic-free cultured Col-E1 strain (Col-E2). Antibiotic susceptibility, morphology, virulence factors, and proteomic changes were assessed using disc-diffusion, agar-based, spectrophotometry, SEM, and iTRAQ-LC-MS/MS methods.

Timing of Delivery of Low-Risk Persons and the Risk of Attention-Deficit Hyperactivity Disorder in Offspring: Sweden and British Columbia, Canada.

Background: An evidence gap exists concerning the timing of delivery at 37-42 weeks and the risk of attention-deficit hyperactivity disorder (ADHD) in offspring.

Objective: To determine the association between timing of delivery in low-risk pregnancies at term (37-42 weeks) gestations and ADHD in offspring.

Methods: This population-based cohort study comprised 1,424,453 singletons in Sweden and 403,765 in British Columbia (BC), Canada, live-born at 37-42 completed weeks to low-risk pregnant women between 2000 and 2018.

Biosensors for Seafood Safety Control-A Review.

The increased demand for consuming seafood has made seafood production undergo a rapid period of growth. However, seafood has a high risk of contamination from harmful microorganisms and marine toxins which can cause health problems for humans consuming it. Concerning this issue, monitoring seafood safety has become a center of attention for researchers, and developing effective methods for detecting contamination in seafood has become a critical research field.

Recombinant expression and characterization of the family 5 cellulase from in BL21-CodonPlus (DE3)-RIPL.

B. velezensis RB. IBE29 is a chitinolytic bacterium originally isolated from agricultural soil of Vietnam.

Effect of maternal beta-blocker treatment on mean fetal heart rate.

Background: During pregnancy, the prescription of beta-blockers to the mother may be necessary for pre-existing chronic conditions. Their use raises concerns due to potential effects on the fetus.

Objectives: This study aimed to investigate the impact of beta-blockers on mean fetal heart rate in pregnant women treated with these medications compared to an untreated patient group.

Factors associated with future fertility intentions among Korean women of childbearing age in Seoul: a cross-sectional study.

Purpose: South Korea currently has the lowest fertility rate among Organization for Economic Co-operation and Development countries, with a total fertility rate of less than one child per woman. This study explored the factors influencing future fertility intentions (FFI) among Korean women of childbearing age.

Methods: Using a cross-sectional design, we analyzed data from the 2022 Survey on Low Birth Policy Demand in Seoul, conducted by the Seoul Women and Family Foundation.

Combination of Hotspot Mutations With Methylation and Fragmentomic Profiles to Enhance Multi-Cancer Early Detection.

Background: Multi-cancer early detection (MCED) through a single blood test significantly advances cancer diagnosis. However, most MCED tests rely on a single type of biomarkers, leading to limited sensitivity, particularly for early-stage cancers. We previously developed SPOT-MAS, a multimodal ctDNA-based assay analyzing methylation and fragmentomic profiles to detect five common cancers.

Daily accumulation of marine litter in a clam culture area in Can Gio District, Ho Chi Minh City, Vietnam.

The health of humans, the economy, and the marine ecology are all seriously threatened by marine litter. Therefore, quantifying the scope of the issue is gaining more and more attention. Studying beach litter accumulation is one of the approaches to investigating its flows into the marine environment.

Contribution of the microbial community to operational stability in an anammox reactor: Neutral theory and functional redundancy perspectives.

A comprehensive understanding of microbial assembly is essential for achieving stable performance in biological wastewater treatment. Nevertheless, few studies have quantified these phenomena in detail, particularly in anammox-based processes. This study integrated mathematical and microbial approaches to analyze a 330-day anammox reactor with stable nitrogen removal efficiency (97 - 99%) despite changes in the high nitrogen loading rate, nitrogen concentration, and hydraulic retention time.

Occurrence and ecological risks of antibiotics and antiparasitics in surface water in urban lakes in Hanoi city, Vietnam.

The presence of antibiotics in the environment is of significant concern due to their adverse effects on aquatic ecosystems. This study provides an assessment of potential ecological risks (RQ) associated with the concentrations of eight antibiotics and antiparasitics (amoxicillin-AMO, azithromycin-AZI, ciprofloxacine-CIP, ofloxacine-OFL, oxfendazole-OXF, lincomycin-LIN, sulfacetamide-SCE and sulfamethoxazole-SME) in the surface water of 13 urban lakes in Hanoi city, Vietnam during the period 2021-2023. The findings revealed considerable variations in the total concentrations of these 8 substances (T), ranging from below the method detection limit (< MDL) to 2240 ng L with an average of 330.

Hybridisation of in silico and in vitro bioassays for studying the activation of Nrf2 by natural compounds.

Oxidative stress, characterized by the damaging accumulation of free radicals, is associated with various diseases, including cardiovascular, neurodegenerative, and metabolic disorders. The transcription factor Nrf2 is pivotal in cellular defense against oxidative stress by regulating genes that detoxify free radicals, thus maintaining redox homeostasis and preventing cellular aging. Keap1 plays a regulatory role through its interaction with Nrf2, ensuring Nrf2 degradation under homeostatic conditions and facilitating its stabilization and nuclear translocation during oxidative stress.

Gene abundance and microbial syntrophy as key drivers of anaerobic digestion revealed through 16S rRNA gene and metagenomic analysis.

Genes in microorganisms influence the biological processes in anaerobic digestion (AD). However, key genes involved in the four metabolic steps (hydrolysis, acidogenesis, acetogenesis, and methanogenesis) remain largely unexplored. This study investigated the abundance and distribution of key functional genes in full-scale anaerobic digesters processing food waste (FWDs) and municipal wastewater (MWDs) through 16S rRNA gene and shotgun metagenomic analysis.

Polysulfone-Based Membranes Modified with Ionic Liquids and Silica for Potential Fuel Cell Applications.

The urgent need for sustainable, low-emission energy solutions has positioned proton exchange membrane fuel cells (PEMFCs) as a promising technology in clean energy conversion. Polysulfone (PSF) membranes with incorporated ionic liquid (IL) and hydrophobic polydimethylsiloxane-functionalized silica (SiO-PDMS) were developed and characterized for their potential application in PEMFCs. Using a phase inversion method, membranes with various combinations of PSFs, SiO-PDMS, and 1-butyl-3-methylimidazolium triflate (BMI.

Activating SERS Signals of Inactive Analytes: Creating an Energy Bridge between Metal/Molecule Energy Alignment via Metal/Semiconductor Transitions.

Surface-enhanced Raman spectroscopy (SERS) is a powerful analytical technique, yet it faces challenges with certain probe molecules exhibiting weak or inactive signals, limiting their applicability. In a recent study, we investigated this phenomenon using a set of four probe molecules─chloramphenicol (CAP), 4-nitrophenol (4-NP), amoxicillin (AMX), and furazolidone (FZD)─deposited on Ag-based nanostructured SERS substrates. Despite being measured under identical conditions, CAP and 4-NP exhibited SERS activity, while AMX and FZD did not.

NLRP3 Inflammasome Activation and Altered Mitophagy Are Key Pathways in Inclusion Body Myositis.

Background: Inclusion body myositis (IBM) is the most prevalent muscle disease in adults for which no current treatment exists. The pathogenesis of IBM remains poorly defined. In this study, we aimed to explore the interplay between inflammation and mitochondrial dysfunction in IBM.