News-Medical.Net

Machine learning advances human-centric drug toxicity prediction

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
The Lancet

Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study

(d) Prediction of time from diagnosis to gastrostomy requirement in the training cohort is compared using actual or imputed values of each covariate. 150 observations (10% of uncensored values in the ...
IEEE

Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks

Abstract: The Internet of Things (IoT) technology development speed, along with its integration into smart city infrastructure, requires strong cybersecurity solutions to protect important systems.
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

Liu, X. , Mei, R. , Zhao, Z. , Wang, S. and Duan, J. (2025) An Optimized Port Operation Efficiency Prediction Model Based on ...
IEEE

Prediction of Asthma Using Machine Learning Algorithms

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
The Washington Post

Town in eastern Germany is a testing lab for reversing population decline

Eisenhüttenstadt offered a chance for two prospective residents to live rent-free in furnished apartments on a trial basis — 2,000 people applied from around the world. EISENHÜTTENSTADT, Germany — ...
C&EN

Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction

Solid-state batteries (SSBs) promise the step-change in energy density and safety that today’s lithium-ion technology cannot deliver, yet progress is throttled by the slow and fragmented ...