SEED Therapeutics Reports Tumor Eradication in a Neuroblastoma In Vivo Model with Clinical-Stage RBM39 Molecular Glue Degrader ST-01156

SEED Therapeutics, Inc. (“SEED”), a clinical-stage biotechnology company pioneering rationally designed molecular glue ...
FantasyPros on MSN

4 fantasy baseball regression candidates (2026)

The beginning of the fantasy baseball season is a relatively easy time to spot outliers and candidates for positive and ...

Foghorn Therapeutics Presents New Preclinical Data for Selective SMARCA2 Inhibitor FHD-909 and for Selective CBP, EP300 and ARID1B Degrader Programs at the 2026 AACR Annual Meeting

Complete and durable regression and anti-tumor immune memory following treatment with FHD-909 (LY4050784) in combination with an anti-PD-1 ...
EurekAlert!

Satellite data reveal hidden crop planting timelines

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

digna Expands Data Analytics Capabilities with New Time-Series Analysis and Validation Features

April 15, 2026) - digna has announced Release 2026.04 of its data quality and observability platform, introducing new capabilities in time-series analytics and validation standardization designed to ...

Why do older sellers get less money for their homes than younger sellers?

A lot less research has examined the selling side - but a recent study released by the Center for Retirement Research shows that older sellers earn lower returns. Read: Over age 65? Watch out for ...

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
IEEE

A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Abstract: The Level 1 (L1) brightness-temperature data from the Fengyun-3D (FY-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean ...
C&EN

Evaluation of the Effect of Decreased Surrogate Concentrations on the Calculation Value of Recovery Rates Using Multiple Regression Analysis and Calibration Curves on LC/MS ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Aromatic amines are used widely in industry as chemical ...
IEEE

Comparative Between Artificial Neural Networks and Multiple Linear Regression for the Estimation of Mechanical Properties in Cast Aluminum

Abstract: Metallic materials are composed of elements with defined chemical composition, and their intrinsic atomic arrangement confers them a distinctive crystalline structure. Thus, it is relevant ...
Scientific Research Publishing

Newbold, P., Carlson, W.L. and Thorne, B. (2007) Multiple Regression. In: Pfaltzgraff, M. and Bradley, A., Eds., Statistics for Business and Economics, Pearson Education Inc ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...