LinkedIn

The Next Frontier in Vision AI: Why Spatial Analysis is Changing Everything (and How Gemini Handles It Zero-Shot)

If I asked you to build an app that finds, extracts, and digitizes specific historical illustrations hidden inside hundreds of messy, skewed photos of vintage books, how would you approach it?
GitHub

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images

This is the official repository for AAAI 2025 paper M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images The code of the core M2OST network will be ...
GitHub

Satellite Derived Bathymetry (SDB) GUI

Mainly, there are two types of methods to create a bathymetric prediction using satellite imagery. Two of which are analytical methods and empirical methods. The former predicts depth using water body ...
PNAS

Cryo-EM heterogeneity analysis using regularized covariance estimation and kernel regression

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...
Nature

Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

The alternative text for this image may have been generated using AI. We next investigated the generalizability of the 2D pretrained models to the variability in sample types, which can encompass ...
Investopedia

Multiple Linear Regression (MLR): Definition, Uses, & Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Scientific Research Publishing

Spatial Heterogeneity Modeling Using Machine Learning Based on a Hybrid of Random Forest and Convolutional Neural Network (CNN) ()

1 Department of Mathematics, Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUISTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Science, Jomo Kenyatta ...
Nature

SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics

Efficiently mapping of cell types in situ remains a major challenge in spatial transcriptomics. Most spot deconvolution tools ignore spatial coordinate information and perform extremely slow on large ...
LinkedIn

Plot the climate stripes using NASA GISTEMP and Python.

This continuation of our GISTEMP tutorial (find it here) guides you through the needed steps of constructing climate stripes graphs using Python libraries. We'll leverage the foundation you ...