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
High quality-factor terahertz phonon-polaritons in layered lead iodide. [PDF]
Santos CN +10 more
europepmc +1 more source
Wave propagation in dual-porosity media under the combined effects of light, heat, elasticity, and gravity. [PDF]
Attia N, Moulahi T, Ahmed A, Elidy ES.
europepmc +1 more source
Dynamic soliton solutions and stability analysis of the (2+1)-dimensional Wazwaz Kaur Boussinesq equation using an efficient method. [PDF]
Elsonbaty NM +3 more
europepmc +1 more source
Walks with jumps: a neurobiologically motivated class of paths in the hyperbolic plane. [PDF]
DeBlois J, Einstein E, Victor JD.
europepmc +1 more source
CellUntangler: Separating distinct biological signals in single-cell data with deep generative models. [PDF]
Chen S, Regev A, Condon A, Ding J.
europepmc +1 more source
Exact soliton, lump, and breather solutions of the (3 + 1)-dimensional Jimbo-Miwa equation via the bilinear neural network method. [PDF]
Hussein HH, Mekawey H, Elsheikh A.
europepmc +1 more source
JORGENSEN'S INEQUALITY FOR COMPLEX HYPERBOLIC 2-SPACE (Perspectives of Hyperbolic Spaces)
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