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Results for "Environmental Science"

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#1191Genetics & Molecular BiologyFront Page23 March 2026

Beyond DNA Sequencing: How AI and Digital Phenotyping Will Shape the Next Decade of Medicine

While modern genomics has successfully mapped our biological blueprints, making sense of that massive data remains a significant hurdle. A new review explores how next-generation phenomics merges genetic data with real-time digital tracking to predict health outcomes. This shift suggests a more personalised, systems-level approach to medicine within the next decade.

By Ranga, Malhotra, Singh, Pandey

#1192Environmental ScienceFront Page5 March 2026

The Hidden Costs of Nature's Kitchen: Predicting the Future of Ecosystem Services

Researchers used machine learning to track China's environmental outputs from 2001 to 2100. While outputs like food and carbon storage have increased, their ability to work cooperatively is declining, pointing towards future resource conflicts.

By Bai, Ren, Ji, Ren, Fang, Chen, Wang

#1193Computer Science & AIFront Page20 November 2025

Smarter Traffic Flow Prediction Without Compromising Privacy

Researchers have developed FedGDAN, a new AI model that predicts traffic patterns by allowing connected vehicles to learn collaboratively without sharing raw data. By combining graph neural networks with federated learning, the system improves accuracy while strictly maintaining user privacy.

By Li, Mi, Zeng

#1194Physics & AstronomyFront Page4 December 2025

Quantum Memory: Stretching the Blink of an Eye

Scientists have extended the coherence time of nuclear spins in quantum dots by a factor of one hundred, achieving durations exceeding 100 milliseconds. By utilising strain engineering and specific pulse sequences to minimise internal interference, this development offers a promising route towards robust solid-state quantum memory for future networks.

By Dyte, Manna, Covre da Silva, Rastelli, Chekhovich

#1195Physics & AstronomyFront Page30 March 2026

The Golden Back Door: A New Approach to Quantum Sensing

Researchers have designed a nanoscale gold waveguide that allows atomic-scale sensors to operate in optically opaque environments. By collecting data through the back of the substrate, the device can measure magnetic fields in dark or murky liquids without losing its signal.

By Dikshit, Vaidya, Tsubota, Gao, Ju, Xie, Shen, Hussain, Higashi, Banerjee, Wu, Li

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