AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Collective Variable-Guided Engineering of the Free-Energy Surface of a Small Peptide. [PDF]
Medaparambath M, Zhilkin A, Mendels D.
europepmc +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
When seasonal structure dominates: rethinking causal attribution in environmental epidemiology. [PDF]
Häggström Gunfridsson E.
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Radiomic Characterization of Adrenal Incidentalomas on NECT: Retrospective Exploratory Study and Systematic Review. [PDF]
Frisina P +3 more
europepmc +1 more source
A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution
We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song +21 more
wiley +1 more source
An in silico evaluation of signal and separability properties of k-edge materials in spectral CT. [PDF]
Rajagopal JR +5 more
europepmc +1 more source
From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith +4 more
wiley +1 more source
The Machine Learning Classification of Retinal Ganglion Cell Dendritic Texture in a 3xTg-Alzheimer's Disease Mouse Model. [PDF]
Kulmaganbetov M +3 more
europepmc +1 more source

