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Climate-Driven Mortality Forecasting Using Deep Learning

Climate extremes have become important drivers of mortality, producing sudden spikes that traditional mortality models fail to predict. To address this gap, we propose a two-step modelling framework t...

👤 Kenrick So | Karim Barigou | Jens Robben 📰 arXiv 📅 2026 👁 140 📚 28

Potential factors contributing to extreme longevity in the Greenland shark.

The Greenland shark (Somniosus microcephalus) is a deep-sea vertebrate inhabiting the cold waters of the North Atlantic and Arctic Ocean and is renowned for its exceptional longevity, with individuals...

👤 Lagunas-Rangel Francisco Alejandro 📰 未知期刊 📅 2026 👁 37 📚 10

The Greenland shark genome: Insights into lifespan extremes and population dynamics.

The Greenland shark (Somniosus microcephalus) is known for its slow metabolism and deep-sea habitat. It is thought to be the longest-lived vertebrate on Earth, with an estimated lifespan of 392 ± 120 ...

👤 Yang Kaiqiao, Nishiwaki Kazuya, Mizobata... 📰 Proceedings of the National Academy of Sciences 📅 2026 👁 47 📚 1

Resilience to Cardiac Aging in Greenland Shark Somniosus microcephalus.

The Greenland shark (Somniosus microcephalus), with a lifespan estimated around 300 years, represents a unique model for studying vertebrate longevity. Here, we characterize its cardiac aging profile ...

👤 Chiavacci Elena, Steffensen Kirstine Fle... 📰 Aging Cell 📅 2026 👁 32 📚 1

The U.S. Mortality Crisis as a Preston Curve Reversal

U.S. life expectancy stagnated and declined in the 2010s despite continued growth in real per capita income. We use Preston curves to characterize this pattern as a change in the relationship between ...

👤 Ritikaa Khanna | Rourke O'Brien | Andrew... 📰 arXiv 📅 2026 👁 119 📚 0
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