The Sciences
Artificial intelligence outstrips clinical tests in predicting the progression of Alzheimer’s disease
Dementia presents a substantial healthcare challenge globally, impacting more than 55 million individuals with an annual economic burden estimated at $820 billion.

Scientists from Cambridge have created an AI tool that can predict with 80% accuracy whether individuals showing early signs of dementia will remain stable or progress to Alzheimer’s disease in four out of five cases.
This innovative approach has the potential to decrease reliance on invasive and expensive diagnostic procedures, leading to better treatment outcomes during early stages when interventions like lifestyle adjustments or new medications may be most effective.
Dementia presents a substantial healthcare challenge globally, impacting more than 55 million individuals with an annual economic burden estimated at $820 billion. The prevalence of dementia is projected to nearly triple over the next five decades.
Alzheimer’s disease is the primary cause of dementia, responsible for 60-80% of cases. Early detection is critical because treatments are most likely to be effective during this stage. However, accurate early diagnosis and prognosis of dementia often require invasive or costly procedures such as positron emission tomography (PET) scans or lumbar punctures, which are not universally accessible in memory clinics. Consequently, up to one-third of patients may receive incorrect diagnoses, while others may be diagnosed too late for treatment to be beneficial.
“We’ve created a tool which, despite using only data from cognitive tests and MRI scans, is much more sensitive than current approaches at predicting whether someone will progress from mild symptoms to Alzheimer’s – and if so, whether this progress will be fast or slow”
Professor Zoe Kourtzi
Scientists from the Department of Psychology at the University of Cambridge have led a team in developing a machine learning model that predicts the progression of mild memory and cognitive issues to Alzheimer’s disease more accurately than current clinical tools. Their research, published in eClinical Medicine, utilized non-invasive and cost-effective patient data — including cognitive assessments and structural MRI scans showing grey matter deterioration — from over 400 individuals in a US-based research cohort.
The model’s efficacy was then tested using real-world data from an additional 600 participants in the same US cohort, alongside longitudinal data from 900 individuals from memory clinics in the UK and Singapore. The algorithm successfully differentiated between individuals with stable mild cognitive impairment and those who progressed to Alzheimer’s disease within a three-year timeframe. It achieved an 82% accuracy in correctly identifying those who developed Alzheimer’s and an 81% accuracy in identifying those who did not, using only cognitive tests and MRI scans.
Compared to current clinical standards, which rely on markers like grey matter atrophy or cognitive scores, the algorithm demonstrated approximately three times greater accuracy in predicting Alzheimer’s progression. This significant improvement suggests the model could substantially reduce instances of misdiagnosis.
“We’ve created a tool which, despite using only data from cognitive tests and MRI scans, is much more sensitive than current approaches at predicting whether someone will progress from mild symptoms to Alzheimer’s – and if so, whether this progress will be fast or slow,” said Senior author Professor Zoe Kourtzi from the Department of Psychology at the University of Cambridge.
“This has the potential to significantly improve patient wellbeing, showing us which people need closest care, while removing the anxiety for those patients we predict will remain stable. At a time of intense pressure on healthcare resources, this will also help remove the need for unnecessary invasive and costly diagnostic tests,” he added.
Earth
Meltwater ponds might have sheltered life during earth’s deep freeze
During this time, the planet was believed to be encased in ice, with global temperatures plummeting to as low as -50°C

In a study published in Nature Communications, scientists from MIT have proposed that shallow meltwater ponds may have provided critical refuges for early complex life during one of Earth’s most extreme ice ages — the “Snowball Earth” period, which occurred between 635 and 720 million years ago.
During this time, the planet was believed to be encased in ice, with global temperatures plummeting to as low as -50°C. Despite the harsh conditions, complex cellular life — known as eukaryotes — managed to survive. The new research suggests that these life forms could have found sanctuary in small, briny pools formed on the surface of equatorial ice sheets.
“Meltwater ponds are valid candidates for where early eukaryotes could have sheltered during these planet-wide glaciation events,” said lead author Fatima Husain, a graduate researcher in MIT’s Department of Earth, Atmospheric and Planetary Sciences, in a media statement. “This shows us that diversity is present and possible in these sorts of settings. It’s really a story of life’s resilience.”
The team drew parallels between ancient equatorial ice sheets and modern Antarctic conditions. They studied contemporary meltwater ponds on Antarctica’s McMurdo Ice Shelf — an area first dubbed “dirty ice” by explorers in the early 20th century. These ponds, formed by sun-warmed dark debris trapped within surface ice, provided a modern analog to the possible melt environments of the Cryogenian Period.
Samples taken from these Antarctic ponds revealed clear signatures of eukaryotic life. Using chemical and genetic analysis, including the identification of sterols and ribosomal RNA, the researchers detected algae, protists, and microscopic animals — all descendants of early eukaryotes. Each pond supported unique communities, with differences shaped largely by salinity levels.
“No two ponds were alike,” Husain noted. “There are repeating casts of characters, but they’re present in different abundances. We found diverse assemblages of eukaryotes from all the major groups in all the ponds studied.”
These findings suggest that meltwater ponds — overlooked in previous hypotheses — could have served as vital “above-ice oases” for survival and even diversification during Snowball Earth.
“There are many hypotheses for where life could have survived and sheltered during the Cryogenian, but we don’t have excellent analogs for all of them,” Husain explained. “Above-ice meltwater ponds occur on Earth today and are accessible, giving us the opportunity to really focus in on the eukaryotes which live in these environments.”
The study was co-authored by MIT’s Roger Summons, Thomas Evans (formerly MIT), Jasmin Millar of Cardiff University, Anne Jungblut of the Natural History Museum in London, and Ian Hawes of the University of Waikato in New Zealand.
By uncovering how life may have persisted through Earth’s frozen past, the research not only deepens understanding of our planet’s history — it may also help inform the search for life on icy worlds beyond Earth.
Society
How India’s Richest Man Remembers This Chemical Engineer
Here are the four key insights Mukesh Ambani shared about renowned chemical engineer Prof. M M Sharma:

At the launch of the biography Divine Scientist chronicling the life of legendary Indian chemical engineer Prof. Man Mohan Sharma, Mukesh Ambani, CMD of Reliance Industries, offered a moving tribute that captured the intellect, values, and national impact of his former teacher.
Prof. Sharma is a renowned chemical engineer, who became the first Indian engineer to be elected as a Fellow of Royal Society, the UK in 1990.
Here are the four key insights Ambani shared about Prof. Sharma:
1. The Alchemist of Minds
Ambani recalled how Prof. Sharma transformed his understanding of chemical engineering — and leadership. “He had the power to convert curiosity into knowledge, knowledge into commercial value, and both into everlasting wisdom,” he said. Choosing ICT over IIT Bombay, Ambani said Sharma’s first lecture confirmed he’d made the right decision.
2. Master of ‘Economics of Chemistry’
“He wasn’t just a scientist — he taught us how molecules make money,” said Ambani. He fondly remembered calling Sharma a “Bania chemical engineering professor” for blending scientific brilliance with business sense — a philosophy that informed Reliance’s rise in the petrochemicals industry.
3. Sustainability Visionary
Long before sustainability became a buzzword, Prof. Sharma taught his students to turn every ‘by-product’ into a ‘co-product’. “He insisted nothing should be wasted,” said Ambani. That vision shaped Reliance’s integrated manufacturing strategy, from crude oil to consumer products.
4. A Silent Architect of Economic Reforms
Prof. Sharma wasn’t just a scholar — he was a behind-the-scenes changemaker. Ambani revealed how Sharma, alongside his father Dhirubhai Ambani, lobbied for deregulating India’s chemical industry. “He told policymakers: if you want India to grow, end the license raj and build scale,” said Ambani. “He is not just our Guru — he is a Rashtra Guru.”
The emotional address underscored the enduring influence of a teacher whose lessons extend far beyond the classroom — into boardrooms, factories, and the future of India.
Earth
How Tuna and Swordfish Hunt in the Deep; MIT Oceanographers find the answer
A new study reveals that tuna and swordfish are making regular, long-distance plunges into the twilight zone, a mysterious and dark layer of the ocean, to fill their stomachs

Imagine diving into the ocean’s depths, descending further than the eye can see, into a cold, almost completely dark world where every movement feels like a gamble. For some of the ocean’s most formidable predators—like tuna and swordfish—this is no mere adventure; it’s a necessity. A new study reveals that these apex hunters are making regular, long-distance plunges into the twilight zone, a mysterious and dark layer of the ocean, to fill their stomachs. And what they’re finding there could change the way we think about ocean ecosystems and the future of commercial fishing.
For decades, oceanographers knew that large fish like tuna and swordfish occasionally ventured into the depths of the ocean, but the purpose of these dives remained unclear. Were these predators hunting for food, or were they just exploring? A recent breakthrough by MIT oceanographers has answered that question—and the results are more astonishing than anyone could have imagined.

In a pioneering study published in ICES Journal of Marine Science, an MIT team led by Ciara Willis has found that these fish are relying heavily on the twilight zone, a dark, cold layer between 200 and 1,000 meters below the surface, for as much as 60% of their diet. This discovery reveals a much deeper connection to this enigmatic zone than scientists previously realized.
“We’ve known for a long time that these fish and many other predators feed on twilight zone prey,” says Willis, a postdoc at the Woods Hole Oceanographic Institution, in a press statement. “But the extent to which they rely on this deep-sea food web for their diet has been unclear.”
The Hidden Feast
The twilight zone—often overlooked in marine research—has been gaining attention for its rich ecosystem. It’s a vast, underexplored region teeming with strange creatures, from tiny lanternfish to massive squid, all adapted to live without sunlight. While the surface waters are teeming with life, they offer less concentrated food for large predators. By contrast, the twilight zone is like a dense buffet, providing predators like bigeye tuna, yellowfin tuna, and swordfish a more reliable food source.
“This is a really understudied region of the ocean, and it’s filled with all these fantastic, weird animals,” Willis says. “We call it the ‘deep ocean buffet.’”
The deep sea creatures in the twilight zone have evolved to migrate vertically—swimming to the surface to feed at night and returning to the depths by day to avoid predators. For the big predators of the open ocean, this behavior creates a prime opportunity to feast. Bigeye tuna, yellowfin tuna, and swordfish dive regularly into these depths to hunt. But until recently, scientists didn’t know just how important this food source truly was.
“We saw the bigeye tuna were far and away the most consistent in where they got their food from,” Willis explains. “The swordfish and yellowfin tuna were more variable, meaning that if large-scale fishing were to target the twilight zone, bigeye tuna might be the ones most at risk.”
The Price of Overfishing the Deep
This discovery comes at a critical time. The growing interest in commercial fishing in the twilight zone, despite its often unpalatable fish species, has raised alarms. These creatures are increasingly being harvested for fishmeal and fish oil, products commonly used in animal feed and other industries. However, as researchers point out, this could have dire consequences for tuna and swordfish populations.
“There is increasing interest in commercial fishing in the ocean’s twilight zone,” says Willis. “If we start heavily fishing that layer of the ocean, our study suggests that could have profound implications for tuna and swordfish, which are highly reliant on this region.”
The team’s findings underscore the need for careful management of the twilight zone’s resources. Given that tuna and swordfish rely on this zone for up to 60% of their food, disruptions to the ecosystem here could have cascading effects on the open ocean and the global fishing industry.
“Predatory fish like tunas have a 50% reliance on twilight zone food webs,” Willis warns. “If we start heavily fishing in that region, it could lead to uncertainty around the profitability of tuna fisheries.”
As the twilight zone becomes a target for increasing commercial interest, scientists are calling for greater caution in how we approach the deep ocean’s complex food web. What lies in the shadows of the ocean’s depths may be far more crucial to our marine ecosystems than anyone has realized.
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