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Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics

Author(s): Abicumaran Uthamacumaran

Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT ...

Article GUID: 40848317


Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs

Author(s): Yuksel IB; Boudesh A; Ghanbarzadehchaleshtori M; Ozsoy SC; Bahrilli S; Mohammadi R; Altindag A;

Idiopathic osteosclerosis (IOS) and condensing osteitis (CO) represent radiopaque lesions often detected incidentally within the jaws, posing substantial diagnostic challenges due to their overlapping radiographic characteristics. The objective of this study was to assess the diagnostic efficacy ...

Article GUID: 40790082


Disentangling prediction error and value in a formal test of dopamine s role in reinforcement learning

Author(s): Usypchuk AA; Maes EJP; Lozzi M; Avramidis DK; Schoenbaum G; Esber GR; Gardner MPH; Iordanova MD;

The discovery that midbrain dopamine (DA) transients can be mapped onto reward prediction errors (RPEs), the critical signal that drives learning, is a landmark in neuroscience. Causal support for the RPE hypothesis comes from studies showing that stimulating DA neurons can drive learning under c ...

Article GUID: 40738112


Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications

Author(s): Khodaverdi H; Sedaghati R;

Magnetorheological (MR) foams represent a class of smart materials with unique tunable viscoelastic properties when subjected to external magnetic fields. Combining porous structures with embedded magnetic particles, these materials address challenges such as leakage and sedimentation, typically encountered in conventional MR fluids while offering advanta ...

Article GUID: 40732777


Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review

Author(s): Md Shike Bin Mazid Anik

Urban flooding has become a growing concern for many cities due to accelerating urbanisation, changing weather, and drainage system aging. Earlier studies of floods have taken primarily the traditional process-based approach to predicting urban floods, offering limited exploration of recent advancements in AI-driven, real-time, and community-integrated ap ...

Article GUID: 40692624


Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding

Author(s): Li Z; Luo Z; Bouguila N; Su W; Fan W;

Multi-view clustering has gained significant attention due to its ability to integrate data from diverse perspectives, frequently outperforming single-view approaches. However, existing methods often assume a Gaussian distribution within the latent embedding space, which can degrade performance when handling high-dimensional data or data with complex, non ...

Article GUID: 40664160


Joint enhancement of automatic chest x-ray diagnosis and radiological gaze prediction with multistage cooperative learning

Author(s): Qiu Z; Rivaz H; Xiao Y;

Background: As visual inspection is an inherent process during radiological screening, the associated eye gaze data can provide valuable insights into relevant clinical decision processes and facilitate computer-assisted diagnosis. However, the relevant techniques are still under-explored. Purpose: With deep learning becoming the state-of-the-art for com ...

Article GUID: 40665596


Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations

Author(s): Gharamaleki SK; Helfield B; Rivaz H;

Super-resolution imaging has emerged as a rapidly advancing field in diagnostic ultrasound. Ultrasound Localization Microscopy (ULM) achieves sub-wavelength precision in microvasculature imaging by tracking gas microbubbles (MBs) flowing through blood vessels. However, MB localization faces challenges due to dynamic point spread functions (PSFs) caused by ...

Article GUID: 40640235


Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos

Author(s): Alves W; Babouras A; Martineau PA; Schutt D; Robbins S; Fevens T;

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline concussion detection methods, such as the King-Devick test commonly used as a rapid screening tool designed to evaluate eye movement, attention, language, and cognitive processing abilities suffer from validity ...

Article GUID: 40632382


Statistical or Embodied? Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors

Author(s): Nadler EO; Guilbeault D; Ringold SM; Williamson TR; Bellemare-Pepin A; Com?a IM; Jerbi K; Narayanan S; Aziz-Zadeh L;

Can metaphorical reasoning involving embodied experience-such as color perception-be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might cont ...

Article GUID: 40621800


Application of machine learning for predicting the incubation period of water droplet erosion in metals

Author(s): AlHammad K; Medraj M; Tembely M;

Water droplet erosion (WDE) is a critical degradation phenomenon that significantly affects component lifespan and performance in power generation, aerospace, and wind energy industries. The incubation period-the initial phase before visible material loss occurs-is particularly crucial for maintenance planning and material selection yet remains challengin ...

Article GUID: 40612685


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