A survey on Physarum polycephalum intelligent foraging behaviour and bio-inspired applications

A Awad, W Pang, D Lusseau, GM Coghill - Artificial Intelligence Review, 2023 - Springer
In recent years, research on Physarum polycephalum has become more popular after
Nakagaki (AIR 407: 6803-470, 2000) performed their famous experiment showing that …

[HTML][HTML] Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential

Z Al-Taie, D Liu, JB Mitchem, C Papageorgiou… - Journal of Biomedical …, 2021 - Elsevier
Enabling precision medicine requires developing robust patient stratification methods as
well as drugs tailored to homogeneous subgroups of patients from a heterogeneous …

Physarum-inspired network optimization: A review

Y Sun - arXiv preprint arXiv:1712.02910, 2017 - arxiv.org
The popular Physarum-inspired Algorithms (PAs) have the potential to solve challenging
network optimization problems. However, the existing researches on PAs are still immature …

A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

PN Hameed, K Verspoor, S Kusljic, S Halgamuge - BMC bioinformatics, 2018 - Springer
Background Drug repositioning is the process of identifying new uses for existing drugs.
Computational drug repositioning methods can reduce the time, costs and risks of drug …

A physarum-inspired algorithm for minimum-cost relay node placement in wireless sensor networks

Y Sun, D Rehfeldt, M Brazil, D Thomas… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Relay node placement, which aims to connect pre-deployed sensor nodes to base stations,
is essential in minimizing the costs of wireless sensor networks. In this paper, we formulate …

A Physarum-inspired approach to the Euclidean Steiner tree problem

S Hsu, FIS Massolo, LP Schaposnik - Scientific Reports, 2022 - nature.com
This paper presents a novel biologically-inspired explore-and-fuse approach to solving a
large array of problems. The inspiration comes from Physarum, a unicellular slime mold …

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications

N Ranasinghe, A Ramanan, S Fernando… - arXiv preprint arXiv …, 2022 - arxiv.org
Artificial Intelligence (AI) and its data-centric branch of machine learning (ML) have greatly
evolved over the last few decades. However, as AI is used increasingly in real world use …

The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways

Y Sun, C Ma, S Halgamuge - BMC bioinformatics, 2017 - Springer
Background Cancer constitutes a momentous health burden in our society. Critical
information on cancer may be hidden in its signaling pathways. However, even though a …

Physarum-Inspired Enterprise Network Redesign

SJ Habib, PN Marimuthu - World Conference on Information Systems and …, 2023 - Springer
We have developed a Physarum-inspired redesign algorithm to redesign the existing
enterprise network (EN) with an objective function to minimize the traffic through the …

Applications to Biological Networks of Adaptive Hagen-Poiseuille Flow on Graphs

AF Valente - arXiv preprint arXiv:2309.10577, 2023 - arxiv.org
Physarum polycephalum is a single-celled, multi-nucleated slime mold whose body
constitutes a network of veins. As it explores its environment, it adapts and optimizes its …