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Exercise offers benefits for those with type 1 diabetes, but needs careful blood glucose management. Anaerobic & aerobic exercise cause different responses-optimize nutrition, insulin dosing & monitoring to reach target ranges & reduce dysglycemia risk.


Type 1 diabetes mellitus is an autoimmune disease caused by affected individuals’ autoimmune response to their own pancreatic beta-cell. It affects millions of people worldwide. Exercise has numerous health and social benefits for patients with type 1 diabetes mellitus; however, careful management of blood glucose is crucial to minimize the risk of hypoglycemia and hyperglycemia. Anaerobic and aerobic exercises cause different glycemic responses during and after exercise, each of which will affect athletes’ ability to reach their target blood glucose ranges. The optimization of the patient’s macronutrient consumption, especially carbohydrates, the dosage of basal and short-acting insulin, and the frequent monitoring of blood glucose, will enable athletes to perform at peak levels while reducing their risk of dysglycemia. Despite best efforts, hypoglycemia can occur.

Startup Twin Health is developing a program that uses sensor data to construct a replica of a person’s metabolism and then simulate virtual interventions on the body. The simulations suggest non-drug recommendations that help reverse metabolic disorders such as diabetes.

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A team of scientists at UC San Francisco reported a way to leverage cancers’ unique metabolic profile to ensure that drugs only target cancer cells: Freethink.


To make matters worse, cancer cells sometimes only die when patients take relatively high doses of a drug. This is because cancer’s metabolism is often greater in cancer cells than in normal cells. For instance, some cancer cells have more MEK enzyme — meaning more cobimetinib is required to stop these cells from replicating. Unfortunately, the doses cancer patients receive often closely approach or even exceed the levels at which the drug causes toxicities in healthy tissues.

Cancer cells hoard iron at a far greater rate than healthy cells, according to previous studies. Although the reason for this remains unclear, the UCSF team realized this could be leveraged to increase the specificity of cancer drugs. If a cancer drug, such as cobimetinib, were only activated in the iron-rich environment of a cancer cell, the drug would be inert when it interacts with healthy cells. It’s something like a two-factor authentication system for cancer drugs.

To test this, the scientist synthesized an iron-activated (IA) cobimetinib that only blocks MEK in an iron-rich environment. The experimental drug inhibited tumor growth as efficiently as standard cobimetinib, but it spared healthy cells. Using a mouse-lung cancer model, mice receiving either IA-cobimetinib or standard cobimetinib had fewer lung lesions and showed prolonged overall survival compared to vehicle-treated mice. When the scientists evaluated IA-cobimetinib’s effect on healthy human retinal and skin cells, they found the healthy tissue was about 10-fold less sensitive than cancer cells to IA-cobimetinib.

Researchers at the University of Stuttgart have demonstrated that a key ingredient for many quantum computation and communication schemes can be performed with an efficiency that exceeds the commonly assumed upper theoretical limit — thereby opening up new perspectives for a wide range of photonic quantum technologies.

Quantum science not only has revolutionized our understanding of nature, but is also inspiring groundbreaking new computing, communication, and sensor devices. Exploiting quantum effects in such ‘quantum technologies’ typically requires a combination of deep insight into the underlying quantum-physical principles, systematic methodological advances, and clever engineering. And it is precisely this combination that researchers in the group of Prof. Stefanie Barz at the University of Stuttgart and the Center for Integrated Quantum Science and Technology (IQST) have delivered in recent study, in which they have improved the efficiency of an essential building block of many quantum devices beyond a seemingly inherent limit.

Historical foundations: from philosophy to technology.

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Researchers examine how the brain processes language by using intracranial recordings in epilepsy patients during reading tasks, revealing the neural networks responsible for semantic integration and distinguishing between semantic coherence and task-based referentiality. The study pinpoints specific brain regions activated during sentence processing and offers new insights into the spatiotemporal dynamics of language understanding.

Regenerative medicine and tissue engineering strategies have made remarkable progress in remodeling, replacing, and regenerating damaged cardiovascular tissues. The design of three-dimensional (3D) scaffolds with appropriate biochemical and mechanical characteristics is critical for engineering tissue-engineered replacements. The extracellular matrix (ECM) is a dynamic scaffolding structure characterized by tissue-specific biochemical, biophysical, and mechanical properties that modulates cellular behavior and activates highly regulated signaling pathways. In light of technological advancements, biomaterial-based scaffolds have been developed that better mimic physiological ECM properties, provide signaling cues that modulate cellular behavior, and form functional tissues and organs.