Biology

Auto Added by WPeMatico

Can scientists really resurrect the dodo? Inside the company that says they can

ai, AI (Artificial Intelligence), Animals, Artificial Intelligence, Biology, Conservation, Endangered species, Environment, Extinct wildlife, Gene editing, Genetics, Science, Technology, US news, Wildlife, World news

Colossal Biosciences’ CEO says its work follows a ‘moral obligation’ while critics say it’s ‘tech bro’ hype that could undermine conservationCan and should we resurrect animal species that have been extinct for thousands of years? Such weighty, existential questions were once the preserve of science fiction but are now being played out within an unassuming […]

Can scientists really resurrect the dodo? Inside the company that says they can Read More »

3 Questions: Building predictive models to characterize tumor progression

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, Cancer, Computational biology, DNA, Evolution, Faculty, Genetics, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Interview, Koch Institute, Machine Learning, Medicine, School of Science

Just as Darwin’s finches evolved in response to natural selection in order to endure, the cells that make up a cancerous tumor similarly counter selective pressures in order to survive, evolve, and spread. Tumors are, in fact, complex sets of cells with their own unique structure and ability to change. Today, artificial Intelligence and machine learning

3 Questions: Building predictive models to characterize tumor progression Read More »

Large genome model: Open source AI trained on trillions of bases

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, DNA, genes, Genetics, Genomics, Science, training

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes, it could correctly identify the next one or suggest a completely novel protein. That system worked because bacteria tend to

Large genome model: Open source AI trained on trillions of bases Read More »

AI to help researchers see the bigger picture in cell biology

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Biological engineering, Biology, Broad Institute, Cells, Computer science and technology, Diagnostics, Electrical engineering and computer science (EECS), Genetics, Health, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Medicine, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about the

AI to help researchers see the bigger picture in cell biology Read More »

Katie Spivakovsky wins 2026 Churchill Scholarship

ai, AI (Artificial Intelligence), Artificial Intelligence, Awards, honors and fellowships, Biological engineering, Biology, Mathematics, MIT Schwarzman College of Computing, School of Engineering, School of Science, Students, Undergraduate

MIT senior Katie Spivakovsky has been selected as a 2026-27 Churchill Scholar and will undertake an MPhil in biological sciences at the Wellcome Sanger Institute at Cambridge University in the U.K. this fall.Spivakovsky, who is double-majoring in biological engineering and artificial intelligence, with minors in mathematics and biology, aims to integrate computation and bioengineering in

Katie Spivakovsky wins 2026 Churchill Scholarship Read More »

Google DeepMind launches AI tool to help identify genetic drivers of disease

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, DeepMind, Genetics, Google, Medical research, Science, Technology

AlphaGenome can analyse up to 1m letters of DNA code at once and could pave way for new treatmentsResearchers at Google DeepMind have unveiled their latest artificial intelligence tool and claimed it will help scientists identify the genetic drivers of disease and ultimately pave the way for new treatments.AlphaGenome predicts how mutations interfere with the

Google DeepMind launches AI tool to help identify genetic drivers of disease Read More »

The best of the long read in 2025

Africa, Archaeology, Artificial Intelligence, Artificial intelligence (AI), Asia Pacific, Bashar al-Assad, Biology, British Museum, Children, china, Climate crisis, Computing, Crime, Culture, Denmark, Emmanuel Macron, Environment, Evolution, Family, Fossils, Health & wellbeing, Human rights, Israel, Keir Starmer, Labour, Law, Life and style, Middle East and north Africa, Morning sickness, Parents and parenting, Politics, Pregnancy, Qatar, Religion, Russia, Science, Sierra Leone, Society, Syria, Technology, Tuvalu, UK news, USAID, Vladimir Putin, World news, YouTube

Our 20 favourite pieces of in-depth reporting, essays and profiles from the yearVictor Pelevin made his name in 90s Russia with scathing satires of authoritarianism. But while his literary peers have faced censorship and fled the country, he still sells millions. Has he become a Kremlin apologist? Continue reading…

The best of the long read in 2025 Read More »

3 Questions: Using computation to study the world’s best single-celled chemists

Artificial Intelligence, Bacteria, Biology, Electrical engineering and computer science (EECS), Evolution, Faculty, Genetics, Interview, Machine Learning, Microbes, MIT Schwarzman College of Computing, School of Engineering, School of Science

Today, out of an estimated 1 trillion species on Earth, 99.999 percent are considered microbial — bacteria, archaea, viruses, and single-celled eukaryotes. For much of our planet’s history, microbes ruled the Earth, able to live and thrive in the most extreme of environments. Researchers have only just begun in the last few decades to contend

3 Questions: Using computation to study the world’s best single-celled chemists Read More »

Deep-learning model predicts how fruit flies form, cell by cell

3-D, Animals, Artificial Intelligence, Biology, Cells, Computer vision, Imaging, Machine Learning, Mechanical engineering, National Institutes of Health (NIH), Research, School of Engineering, Self-assembly

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells.A team of MIT engineers has now developed a way to predict, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The new method may one

Deep-learning model predicts how fruit flies form, cell by cell Read More »

Five with MIT ties elected to National Academy of Medicine for 2025

Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Biology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Disease, Electrical engineering and computer science (EECS), Faculty, Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Koch Institute, Mechanical engineering, MIT Schwarzman College of Computing, Physics, Ragon Institute, School of Engineering, School of Science, Vaccines, Wireless

On Oct. 20 during its annual meeting, the National Academy of Medicine announced the election of 100 new members, including MIT faculty members Dina Katabi and Facundo Batista, along with three additional MIT alumni.Election to the National Academy of Medicine (NAM) is considered one of the highest honors in the fields of health and medicine,

Five with MIT ties elected to National Academy of Medicine for 2025 Read More »