Ho Chi Minh City University of Science

Position: AI Systems Should Be Designed to Develop Their Users, Not Just Assist Them

Human-facing AI systems are mainly designed and evaluated for what they do for users, and seldom for what sustained use does to users' own capabilities. Evidence that AI use can erode, preserve, or improve human capability is accumulating across several fields, but it remains sca...

Data-Driven Identification of GelMA Hydrogel Formulations with Bioink-Relevant Properties Using Design of Experiments (DoE) and Machine Learning (ML)

Abstract Gelatin methacryloyl (GelMA) hydrogels are promising bioink candidates for extrusion-based 3D bioprinting, but their synthesis and formulation conditions must be optimized to achieve suitable gelation, printability, and mechanical stability. In our study, a design-of-exp...

Selective Clock-Gene Responses to Photoperiodic and Glucocorticoid Exposure in Human Umbilical Cord-Derived Mesenchymal Stem Cells

Objective: Circadian rhythms regulate essential cellular functions, yet their presence and entrainment in human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) remain poorly defined.Methods: hUC-MSCs were cultured under 12-hour light/12-hour dark (light-dark [LD]) cycles...

Development and validation of a tail-extension PCR protocol for improved sanger sequencing of a short miR-16-5p-derived amplicon

Abstract Background MicroRNA-16-5p (miR-16-5p) plays an important role in gene regulation and has been implicated in several human diseases. Improved sequence verification of short miRNA-derived amplicons is important in assay development and control validation. Because stem-loop...

Enhancing credit score classification: a time-effective deep learning approach

Credit Risk Management is a strategic foundation for decision making and long term financial stability in today's banking environment. The purpose of this study was to compare and contrast multiple Multilayer Perceptron (MLP) architectures in terms of their predictive ability as...

Integrative analysis of bulk, single-cell, and spatial transcriptomes reveals a clinically relevant transcriptional program from hepatocellular carcinoma to pan-cancer

Abstract Background Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, underscoring the urgent need for robust molecular signatures that support multiple clinical tasks and generalize across diverse transcriptomic platforms. Results We p...