A new era in optimization of anti-infective therapy: Current challenges and priorities.

Eur J Intern Med

School of Medicine, University of Western Australia, Perth, Australia; Feinberg School of Medicine, Northwestern University, Chicago, USA.

Published: November 2024

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ejim.2024.11.009DOI Listing

Publication Analysis

Top Keywords

era optimization
4
optimization anti-infective
4
anti-infective therapy
4
therapy current
4
current challenges
4
challenges priorities
4
era
1
anti-infective
1
therapy
1
current
1

Similar Publications

Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.

Sci Rep

December 2024

Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Kyiv, Ukraine.

The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.

View Article and Find Full Text PDF

Background: The role of Intravascular ultrasound (IVUS) and optical coherence tomography (OCT) is still unclear in patients with STEMI undergoing PCI in the current second-generation DES era.

Aims: This study aimed to evaluate the trends and outcomes of IVUS-guided PCI in patients with STEMI.

Methods: We used the National Inpatient Sample (NIS) database from 2016 to 2021.

View Article and Find Full Text PDF

As one of the most common solid pediatric cancers, Neuroblastoma (NBL) accounts for 15% of all of the cancer-related mortalities in infants with increasing incidence all around the world. Despite current therapeutic approaches for NBL (radiotherapies, surgeries, and chemotherapies), these approaches could not be beneficial for all of patients with NBL due to their low effectiveness, and some severe side effects. These challenges lead basic medical scientists and clinical specialists toward an optimal medical interventions for clinical management of NBL.

View Article and Find Full Text PDF

Background: Lung adenocarcinoma patients are often found to have developed bone metastases at the time of initial diagnosis. With the continuous development of technology, we have successfully entered the era of immunotherapy. This study aimed to determine the efficacy of immunotherapy in lung adenocarcinoma patients with bone metastases (LABM) through a multicenter retrospective analysis and to develop a novel tool to identify the population that could benefit most from immunotherapy.

View Article and Find Full Text PDF

In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technology. However, success rates remain suboptimal, with only about one-third of cycles resulting in pregnancy and fewer leading to live births. This narrative review explores the potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to enhance various stages of the IVF process.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!