Artificial intelligence: the milestone in modern biomedical research

K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

Translational Bioinformatics Applied to the study of Complex diseases

MC Casotti, DD Meira, LNR Alves, BGO Bessa… - Genes, 2023 - mdpi.com
Translational Bioinformatics (TBI) is defined as the union of translational medicine and
bioinformatics. It emerges as a major advance in science and technology by covering …

Private pathological assessment via machine learning and homomorphic encryption

A Al Badawi, M Faizal Bin Yusof - BioData Mining, 2024 - Springer
Purpose The objective of this research is to explore the applicability of machine learning and
fully homomorphic encryption (FHE) in the private pathological assessment, with a focus on …

[PDF][PDF] Stimulating economic growth and innovations by leveraging bioinformatics in biotechnology SMES

NJA Afolabi, NGS Opoku, NV Apatu - World Journal of Advanced …, 2024 - researchgate.net
Biotechnology is an emerging field. It can foster economic expansion through scientific
advancements. Small and Medium-Sized Enterprises (SMEs) are integral in this perspective …

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue …

MY Fatemi, Y Lu, AB Diallo, G Srinivasan… - Briefings in …, 2024 - academic.oup.com
The application of deep learning to spatial transcriptomics (ST) can reveal relationships
between gene expression and tissue architecture. Prior work has demonstrated that inferring …

Chromatographic-based platforms as new avenues for scientific progress and sustainability

JS Câmara, C Martins, JAM Pereira, R Perestrelo… - Molecules, 2022 - mdpi.com
Chromatography was born approximately one century ago and has undergone outstanding
technological improvements in innovation, research, and development since then that has …

[HTML][HTML] Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives

G Molla, M Bitew - Biomedicines, 2024 - mdpi.com
The field of personalized medicine is undergoing a transformative shift through the
integration of multi-omics data, which mainly encompasses genomics, transcriptomics …

Computational resources in healthcare

N Sharma, LD Naorem, S Gupta… - … Reviews: Data Mining …, 2022 - Wiley Online Library
Healthcare is the most important component in the life of all human beings as each
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …

Artificial Intelligence, Bioinformatics, and pathology: Emerging trends part I—An introduction to machine learning technologies

J Levy, Y Lu, M Montivero… - Advances in …, 2022 - advancesinmolecularpathology.com
The modern pathology laboratory serves to provide timely and reliable pathologic
examination of tissue and liquid-based specimens from a variety of patient types and …

IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records

GO Ghosheh, J Li, T Zhu - arXiv preprint arXiv:2401.04402, 2024 - arxiv.org
Electronic Health Records present a valuable modality for driving personalized medicine,
where treatment is tailored to fit individual-level differences. For this purpose, many data …