About BioMIC 2025

Introduction

Translational healthcare research has changed over time as technologies have advanced. Translational research enhanced the process of leveraging healthcare data from all stakeholders in order to facilitate both the discovery and translation, as well as the health outcomes associated with new health technologies and therapies.

With the long-term goal of enhancing public health, translational research promotes the transdisciplinary integration of basic research, patient-oriented research, and population-based research. The following stage of evolution will use Big Data and Machine Learning (ML) to extract meaningful insight from Real World Evidence and, in the process, enable strategies that close crucial knowledge and practice gaps and assist the government in estimating the true value of treatments in terms of improving health and lowering costs.

The integration of knowledge across health system borders and the use of big data, analytics, and procedures to promote collaboration and innovation are key components of accelerating medical and health research. Utilizing technology that simplifies the information acquisition, representation, inference, and explanation processes can improve innovation. Large-scale access to clinical, biological, and healthcare data offers advancements in disease detection and treatment as well as improvements in patient health.

Interdisciplinary approaches to problem-solving and collaboration are becoming increasingly important in facilitating knowledge discovery and integration. Big Data and ML technologies promise to have a profound impact – enabling reproducibility, aiding discovery, and accelerating and transforming medical and healthcare research across the healthcare ecosystem.

Held as part of the Universitas Gadjah Mada Annual Scientific Conferences (UASC 2023) series, the 5^th International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering (BioMIC 2023) provides an ideal academic platform for researchers to present the latest research findings and describe emerging technologies and directions in bioinformatics, biotechnology, and biomedical engineering.

This year, the conference will take the theme "Accelerating translational healthcare by leveraging big data and machine learning" with five symposia: Big Data for Public Health Policy symposium, Bioinformatics and Data Mining symposium; Biomedical Sciences and Engineering symposium; Biomolecular and Biotechnology symposium; and Drug Development and Nutraceutical symposium.

BioMIC 2023 receives manuscripts of original research, review article, and case report.