Healthcare Transformation Towards Personalized Medicine - Chances and Challenges.

Stud Health Technol Inform

Faculty of Information Technology and Communication Sciences (ITC), Tampere University, Finland.

Published: September 2019

The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine. It highlights the promising methodological paradigm changes, accompanied by related organizational and technological ones. In the latter context, the deployment of artificial intelligence and autonomous systems is crucial beside miniaturization and mobility. Beside their opportunities, those advanced technologies also bear risks to be managed. Beside the relationships between technology and human actors, the behavior of intelligent and autonomous systems from a humanistic and ethical perspective is in the center of considerations. The different existing approaches for guaranteeing the intended properties are presented and compared for deriving a common set of necessary principles to be met for P5 medicine.

Download full-text PDF

Source

Publication Analysis

Top Keywords

autonomous systems
8
healthcare transformation
4
transformation personalized
4
personalized medicine
4
medicine chances
4
chances challenges
4
challenges paper
4
paper introduces
4
introduces structured
4
structured approach
4

Similar Publications

Hepatic cystic echinococcosis (HCE), a life-threatening liver disease, has 5 subtypes, i.e., single-cystic, polycystic, internal capsule collapse, solid mass, and calcified subtypes.

View Article and Find Full Text PDF

The paper addresses the economic operation optimization problem of photovoltaic charging-swapping-storage integrated stations (PCSSIS) in high-penetration distribution networks. It proposes a dual-layer optimization scheduling model for PCSSIS clusters and distribution network systems. Firstly, a master-slave game model is constructed.

View Article and Find Full Text PDF

The death and clearance of nurse cells is a consequential milestone in Drosophila melanogaster oogenesis. In preparation for oviposition, the germline-derived nurse cells bequeath to the developing oocyte all their cytoplasmic contents and undergo programmed cell death. The death of the nurse cells is controlled non-autonomously and is precipitated by epithelial follicle cells of somatic origin acquiring a squamous morphology and acidifying the nurse cells externally.

View Article and Find Full Text PDF

Perovskite retinomorphic image sensor for embodied intelligent vision.

Sci Adv

January 2025

Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities.

View Article and Find Full Text PDF

Koopman learning with episodic memory.

Chaos

January 2025

AIMdyn, Inc., Santa Barbara, California 93101, USA.

Koopman operator theory has found significant success in learning models of complex, real-world dynamical systems, enabling prediction and control. The greater interpretability and lower computational costs of these models, compared to traditional machine learning methodologies, make Koopman learning an especially appealing approach. Despite this, little work has been performed on endowing Koopman learning with the ability to leverage its own failures.

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!