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Alternative Medicine

Latest AI and machine learning research in alternative medicine for healthcare professionals.

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EVolutionary Independent DEtermiNistiC Explanation

The widespread use of artificial intelligence deep neural networks in fields such as medicine and ...

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation

Class activation map (CAM) has been widely used to highlight image regions that contribute to clas...

Detection of Vascular Leukoencephalopathy in CT Images

Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its appli...

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis

We present a simple approach to make pre-trained Vision Transformers (ViTs) interpretable for fine...

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures

Pumpkin leaf diseases are significant threats to agricultural productivity, requiring a timely and...

ASpdb: an integrative knowledgebase of human protein isoforms from experimental and AI-predicted structures.

Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multipl...

Jan 2025 39530217
Novel Computational Pipeline to Identify Target Sites for Broad Spectrum Antiviral Drugs

Emerging viruses pose an ongoing threat to human health. While certain viral families are common sou...

Integrative network modeling of colorectal cancer reveals diagnostic signatures and therapeutic targets

Emerging evidence suggests that the interplay between multiple signaling pathways and the immune mic...

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models

Network neuroscience has proven essential for understanding the principles and mechanisms underlying...

SpatialFuser: A Unified Deep Learning Framework for Spatial Multi-Omics Data Integrative Analysis

Recent advances in spatial multi-omics technologies provide unprecedented opportunities to integrate...

Brain-like variability in convolutional neural networks reveals evidence-, uncertainty- and bias-driven decision-making

Even when stimuli and tasks are held constant, brain activity fluctuates markedly across trials, yet...

Multi-Target Mechanisms of Xiaobi Plaster in Lumbar Disc Degeneration: Insights from Network Pharmacology and Bioinformatics Analyses

Lumbar disc degeneration (LDD) is characterized by chronic inflammation, oxidative stress, and extra...

Integrative machine learning predicts activating kinase mutations for precision oncology

Kinases are enzymes that catalyze phosphorylation and play crucial roles in a myriad of cellular reg...

A data-driven analysis of spatiotemporal cues and experience accumulation effects for pitch type prediction

Conventional sports anticipation studies have primarily relied on hypothesis-testing paradigms that ...

Integrating Genomics into Multimodal EHR Foundation Models

This paper introduces an innovative Electronic Health Record (EHR) foundation model that integrates ...

Integrative spatial multi-omics reveals prognostic tumor niches in female genital tumors

Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...

Evo2HiC: a multimodal foundation model for integrative analysis of genome sequence and architecture

Understanding how genomic sequences shape three-dimensional (3D) genome architecture is funda-mental...

Two cortical mechanisms for natural audiovisual processing

Understanding how the human brain processes naturalistic audiovisual information remains a central c...

GENET: AI-Powered Interactive Visualization Workflows to Explore Biomedical Entity Networks

Formulating hypotheses about gene-disease associations requires logical inference from prior data, f...

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