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Have we created an operating system for life? How close are we to cloning humans, and what would that even look like?
You’re in for a fascinating episode as the line between science and science fiction gets blurred. My guest is microbiologist and geneticist Andrew Hessel, the CEO and Founder of The Genome Project-Write, and author of \.
How can machine learning help individuals with type 1 diabetes (T1D)? This is what a study presented at this year’s Annual Meeting of the European Association for the Study of Diabetes (EASD) hopes to address as a team of researchers have developed a system using machine learning capable of managing blood sugars levels with such proficiency that those using system were able to lead lives far more active than the average T1D patient.
For the study, the researchers developed the AID system, which uses closed-loop technology that delivers insulin based on readings from the machine learning algorithm, resulting in a 50-year-old man, a 40-year-old man, and a 34-year-old woman with T1D being able to run hours-long marathons in Tokyo, Santiago, and Paris, respectively. This study holds the potential to help develop better technology capable of allowing T1D diabetes patients to stay in shape without constantly fearing for their blood sugar levels, which can lead to long-term health problems, including hyperglycemia, nerve damage, or a heart attack.
“Despite better systems for monitoring blood sugars and delivering insulin, maintaining glucose levels in target range during aerobic training and athletic competition is especially difficult,” said Dr. Maria Onetto, who is in the Department of Nutrition at the Pontifical Catholic University of Chile and lead author of the study. “The use of automated insulin delivery technology is increasing, but exercise continues to be a challenge for individuals with T1D, who can still struggle to reach the recommended blood sugar targets.”
Custom-made wool caps have enabled scientists to record electroencephalograms in awake cats for the first time, which could help assess their pain levels.
A wormhole is a hypothetical structure connecting disparate points in spacetime, and is based on a special solution of the Einstein field equations. [ 1 ]
A can be visualized as a tunnel with two ends at separate points in spacetime (i.e., different locations, different points in time, or both).
A research team discovered a method to transform materials with three-dimensional atomic structures into nearly two-dimensional structures – a promising advancement in controlling their properties for chemical, quantum, and semiconducting applications.
The field of materials chemistry seeks to understand, at an atomic level, not only the substances that comprise the world but also how to intentionally design and manufacture them. A pervasive challenge in this field is the ability to precisely control chemical reaction conditions to alter the crystal structure of materials—how their atoms are arranged in space with respect to each other. Controlling this structure is critical to attaining specific atomic arrangements that yield unique behaviors. This process results in novel materials with desirable characteristics for practical applications.
A team of researchers led by the National Renewable Energy Laboratory (NREL), with contributions from the Colorado School of Mines (Mines), National Institute of Standards and Technology, and Argonne National Laboratory, discovered a method to convert materials from their higher-energy (or metastable) state to their lower-energy, stable state while instilling an ordered and nearly two-dimensional arrangement of atoms—a feat that has the potential to unleash promising material properties.
More recently, in a period where we upgraded our H2 system from 32 to 56 qubits and demonstrated the scalability of our QCCD architecture, we also hit a quantum volume of over two million, and announced that we had achieved “three 9’s” fidelity, enabling real gains in fault-tolerance – which we proved within months as we demonstrated the most reliable logical qubits in the world with our partner Microsoft.
We don’t just promise what the future might look like; we demonstrate it.
St. Jude’s Liz Kellogg, Ph.D., uses cryo-EM to study programmable transposons for targeted gene therapies, including potential new treatments for cystic fibrosis.
The future of CRISPR involves clinical trials focused on treatment for blood diseases and cancers, cardiovascular disease, T1D, and HIV.
