Results 141 to 150 of about 6,728 (248)

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]

Sci Rep
Pambukyan A, Saudagar AKJ, Kumar S.
europepmc   +1 more source

HierAnom‐Path: Zero‐Shot Rare Cancer Detection in Histopathology via Hierarchical Foundation Model Adaptation

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah, Mohanad Sameer Jabbar, Saif H. Alwaeli, Noor Ayesha, Mohamed Babiker A. Mohamed, Muhammad I. Khan   +5 more
wiley   +1 more source

Class-adaptive oracle-free metamorphic test case prioritization framework for vision-based deep neural networks. [PDF]

Sci Rep
Li J, Mohamad R, Ahmad J.
europepmc   +1 more source

When Does Hope Drive Social Change? Empirical Insights and Their Policy Implications

Social Issues and Policy Review, Volume 20, Issue 1, December 2026.
ABSTRACT When and how does people's hope for change drive social transformation? This question has gained urgency amidst the profound sociopolitical crises of the 21st century, including escalating intergroup conflicts, accelerating environmental degradation, and mounting threats to democracy.
Oded Adomi Leshem, Eran Halperin
wiley   +1 more source

On the equivalence between classically verifiable position verification and certified randomness. [PDF]

Nat Commun
Kaleoglu F, Liu M, Cui D, Amer O, Pistoia M, Lim C, Chakraborty K.   +6 more
europepmc   +1 more source

Insights into the effects of reproductive phase thermal stress on physiology and yield‐related traits of rice cultivars

Agrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract High temperatures lead to a significant drop in rice (Oryza sativa L.) productivity worldwide, especially during the reproductive stage. This research was piloted to evaluate 10 promising rice cultivars for their ability to withstand high‐temperature stress (HS) during the reproductive phase and to assess the impact on physiology and yield ...
Summiya Faisal, Noor Elahi Jan, Zainab Hussain, Muhammad Shahbaz Farooq, Abdul Shakoor, Umsalama A. H. Ahmed, Muataz Ahmed Abdalla, Badr Alharthi, Sajid Fiaz, Lubna Fareed   +9 more
wiley   +1 more source

Nevermore: Target-Conditioned Protein-Ligand Representation Learning for Multi-Objective Lead Optimization with Database-Grounded Retrieval. [PDF]

Biology (Basel)
Refahi MS, Toutounchian M, Sokhansanj BA, Yoo H, Brown JR, Ji HF, Rosen GL.   +6 more
europepmc   +1 more source

Do Androids Dream of Electric Sheep? A Psychoanalytic Inquiry Into Large Language Models

International Journal of Applied Psychoanalytic Studies, Volume 23, Issue 3, September 2026.
ABSTRACT Large language models produce fluent, contextually appropriate language that invites the inference that something behind the output is thinking. The psychoanalytic theory of thinking, specifically the work of Wilfred Bion and Donald Winnicott read together, allows us to specify what thinking requires, what the LLM lacks, and what occurs when a
Mustafa Selek
wiley   +1 more source

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source