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доля реакций к просмотрам- 11 авг.David Sinclair Update Researcher David Sinclair described the search for a single molecule instead of a cellular cocktail on the August 7 Joe Rogan Experience podcast. Computational screening had narrowed down a trillion molecules to 200 candidates, which his team planned to test on human cells. The search for a single molecule grew out of work with OSK, three proteins that reprogram gene function. In a 2020 article, Sinclair's group had introduced OSK into mouse retina cells and checked if the cells regained younger characteristics, regrew damaged neuronal projections, and improved vision in a glaucoma model. This combination became the starting point for the search for a single molecule that could perform multiple actions in a cell. In conversation with Joe Rogan, Sinclair named the goal more precisely: one molecule should perform three or four actions of the cocktail in a cell. The computer first narrowed down the enormous number of options to a list that could be tested in the lab by matching potential molecules with ferments - proteins involved in cellular chemical reactions. According to Sinclair, the work took several months, but without computational screening, it would have taken about 160 years. After calculation, 200 substances remained for the next experiment, as cited in Nature Aging, July 2026. 🔗 Read original →6,25%
- 15 авг.Brain Tissue Controls Robot The OPAB brain slice, approximately 3 mm wide and 300 μm thick, lies on an array of dozens of microelectrodes that can stimulate and read electrical activity. Remarkably, this brain learned to play without a teacher, algorithms, or hints. Three randomly chosen electrodes on the brain slice controlled three fingers of the robot - "LA", "TI", and "DO". When the robot pressed a key, a microphone recorded the sound, and another set of electrodes transmitted this sound back to the brain as a sensory stimulus. The brain received 900 pairs of stimuli over three days, which was enough to form stable sensorimotor associations. In a test, a person played random notes, and the brain (through the robot) imitated them. In some cases, the accuracy reached 100%: 3 out of 16 samples reproduced all notes without a single error, and 62.5% of samples stably reproduced at least two notes. This learning was retained for up to 17 days. Technically, this was made possible by bi-directional plasticity: if two brain areas are stimulated with a 12 ms interval, the connection between them is strengthened in both directions. This rare property allows the brain to "reverse" associations - hear a sound and activate a motor area, even if the connection was initially trained in the opposite direction. When researchers blocked signal transmission with CNQX and APV drugs, accuracy dropped to almost zero. As reported in Nature Aging, July 2026, when the brain was infected with the neurotropic virus TAHV, learning was disrupted, indicating neuronal memory rather than a system artifact. 🔗 Read original →4,00%
- 15 авг.Insilico Shifts Strategy Insilico wants to license programs before they reach the clinic, and for some, it's choosing more familiar pharmaceutical targets in the body. On August 11, Insilico founder and CEO Alex Zhavoronkov told BioSpace that the company wants to develop programs up to preclinical candidates and then license them to pharmaceutical partners before human trials. The development of a drug starts with the selection of a biological target - a protein or another object in the body that the future molecule should act upon. Then, researchers select and test molecules, with a preclinical candidate being a molecule at the stage before human trials. In an interview with BioSpace, Zhavoronkov described the boundary of this work: Insilico prepares a candidate and offers it to a pharmaceutical company before clinical development. Large pharmaceutical companies already have testing centers, connections with researcher physicians, and experience working with regulators. The early licensing model ties the choice of target to the possibility of finding a partner before the first human trial. Zhavoronkov said that very new targets used to hinder Insilico's ability to form partnerships, but the company has moved some new programs to targets of low and moderate novelty; he said this shift has helped secure some major deals, such as the June agreement with SK Biopharmaceuticals, as described in BioSpace, July 2026. 🔗 Read original →0,00%
- 15 авг.DiG-bench Test The authors of DiG-bench released a test where AI must discover hidden rules through experimentation. On August 12, the authors released a test consisting of 70 text-based games with hidden rules. The Gemini 3.1 Pro language model passed 69 out of 70 games, receiving descriptions of these rules, and 18 where it had to infer them itself. In DiG-bench, each game is set up as a small world with its own laws. The player sees a short string of characters and available actions, but does not know how they change the game state and what is required to win. After each move, a new state appears. The next action must be chosen to distinguish one guess about the rules from another. The public game P-21 demonstrates this cycle on one mechanism. On the second level, the player learns: if you press the point, holding the sign n, a bridge of one cell length appears. On the third level, there are three cells of obstacles in front of him. In creative mode, a separate sandbox for testing, moves do not consume the level limit. Standing on the sign ~, the player sees that the action is tripled. After restarting the level, he transfers ~ to the obstacle, takes n, builds a three-cell bridge, and moves on. The test turns observation into a rule, and the rule into a solution to the next problem. Two days earlier, Eric Schmidt and Suhas Mahesh described a scientific agent that links data, builds a hypothesis, and chooses the next experience. DiG-bench highlights an early measurable link in this chain: is the agent able to set a distinguishing test itself when the rules are still unknown. The authors gave Gemini 3.1 Pro a brief description of the dynamics and victory conditions, but did not prompt strategy, tactics, or sequence of moves. The model passed 69 out of 70 games instead of 18. Each of the 70 games was passed by at least one person on the first try. On levels 6 and 7, the authors tested programs around the model that lead the history of actions and provide access to files and tools. In direct comparisons, Kimi K3 and Gemini 3.1 Pro in such programs did not surpass the basic versions; Prime Agent with Opus 5 also did not improve the result of the basic Opus 5. In these comparisons, additional capabilities did not provide an advantage in searching for the game rule. On the DiG-bench website, 21 games and a program interface API are open, through which an external team can run their models on the public part of the test. For a scientific agent, the same question arises before the ready answer: what observation is able to change its working explanation, as described in Nature Aging, July 2026. 🔗 Read original →0,00%
- 14 авг.Brain Preservation Max Harms, a blogger at Nectome, suggests considering cryonics as a means of transferring personal memories to the future. In his August 11 essay, Harms compares brain preservation to the Apollo 17 lunar core and a scroll from Herculaneum. In both cases, new research methods have transformed preserved objects into sources of new knowledge. Cryonics refers to the post-mortem preservation of the body or brain. Harms proposes transmitting the detailed structure of a person's brain to future researchers, which, according to his model, contains recorded personal memories that future methods will be able to read. In December 1972, the Apollo 17 crew brought a lunar core, 73001, to Earth, which was vacuum-sealed on the Moon and stored for about 50 years. In 2022, a NASA team first scanned the core with X-ray tomography, extracted gas from the hermetic container, and then removed the material for separation and analysis. The scroll from Herculaneum demonstrates how new readings begin with a preserved object. On June 25, 2026, the Vesuvius Challenge project virtually unrolled the charred scroll from Herculaneum and read the entire surviving text. X-ray tomography created a volumetric map of the internal layers of the papyrus, a program restored the surface of the scroll, and machine learning detected ink traces. The deciphering was verified by papyrologists, specialists in ancient papyri. Harms applies this idea to the brain, suggesting that the individual structure must be preserved in sufficient detail for future methods to extract information about a person's memory. In a July comparison of cryo- and chemical brain preservation by Nectome and Biostasis Technologies, the procedure was proposed to be evaluated based on the preservation of neuronal structure associated with memory and habits. Harms gives this criterion a cultural meaning: the structure of the brain associated with a person's memory is transmitted to the future, as noted in the Nature Aging, July 2026. 🔗 Read original →0,00%
- 14 авг.Brain Lie Detectors The most dangerous lie detector in the future may not be on the investigator's table, but inside a person's head. For decades, criminology has been trying to find a way to distinguish truth from lies. The classic polygraph measures stress responses: heart rate, breathing, pressure, and skin conductivity changes. However, it does not see the deception process itself. A person may be nervous not because they are lying, but because they are being questioned by people who have a bad habit of looking like they have already written an indictment. Modern research (for example, Nature Aging, July 2026) shows that lies are associated with certain changes in brain activity. When a person tries to hide information, they must simultaneously hold the truth in memory, create a false response, and control their own behavior. This increases cognitive load and activates areas associated with control, memory, and conflict processing, especially the prefrontal cortex and lobes of the brain. One of the main tools here is electroencephalography (EEG). Special electrodes record brain electrical activity, after which machine learning algorithms look for patterns in the received signals. The analysis goes through several stages: signal recording, noise cleaning, extraction of important characteristics, and classification of brain patterns. Of particular interest are brain reactions to familiar information. For example, if a person is shown details of a crime that are known only to the participants of the event, the brain may react to recognition even when the person verbally denies familiarity with this information. Researchers are studying various ranges of brain waves and the activity of individual areas, including the frontal, parietal, and temporal zones. In the future, such systems may change criminology. Witness interrogations may become more accurate, testimony verification may become faster, and investigations of complex crimes may rely not only on a person's words but also on objective data about their brain activity. 🔗 Read original →0,00%
- 14 авг.Biostasis Explained For biostasis, the long-term preservation of the body or brain after legal death in anticipation of future medicine, tissue preservation and organizational stability are crucial, explained neurobiologist Kristin Gloriozo in an interview with Biostasis Technologies on August 11. When considering biostasis for oneself, she adds the question of whether the organization entrusted with the procedure can maintain its operations for hundreds of years. The term "works" in longevity discussions often encompasses different questions, such as whether mice lived longer after intervention, or if human habits or health indicators are associated with a lower disease risk. Gloriozo matches each question with its own type of data, including animal experiments, observational studies, randomized trials, and meta-analyses. In her framework, the term "proven" only makes sense in relation to the specific question being addressed. Biostasis raises another question alongside data on preservation: can the organization entrusted with the procedure maintain its legal form and continue operating for hundreds of years? The analysis of organizations that offer to store bodies or brains after death highlights specific conditions for such sustainability, including funding, documentation, and the transfer of responsibility to subsequent individuals. 🔗 Read original →0,00%
- 14 авг.OptiPrime Edits DNA OptiPrime is a model that selects RNA instructions for prime editing, a method of precise replacement of short DNA segments. On August 12, the journal Nature Biotechnology published a study on OptiPrime, which was trained on 297,962 measurements and tested in cells and mice. The prime editor cuts one DNA strand and copies the desired replacement from the pegRNA instruction. The cell then repairs the cut, but the MMR system can restore the original sequence, causing the edit to disappear. To make a successful edit, one needs to choose a target location on the DNA, the RNA instruction device, and quiet replacements nearby that preserve the protein sequence but change how the cell's repair system recognizes the site. The authors of the study collected large libraries of instructions and tested them in cells with weakened and functional MMR systems. OptiPrime evaluates each stage of the editing process separately and combines these assessments to rank the instructions. The model was able to predict the effectiveness of different instructions, and when its components were removed or randomly rearranged, the accuracy of its predictions decreased. In May, a team redesigned the prime editor protein to remain active in cells for longer. OptiPrime selects RNA instructions that take into account the cell's repair system, and in tests, it was able to achieve editing efficiencies of up to 22%. In a mouse model of the Kif1a gene, OptiPrime proposed combinations of quiet replacements that resulted in editing efficiencies of over 40% in the brain after four weeks. 🔗 Read original →0,00%
- 14 авг.OSF Read-Only Mode The non-profit organization "Center for Open Science" (COS) announced changes to the Open Science Framework (OSF) platform, where research groups conducted projects and shared materials. As of November 16, 2026, it will no longer be possible to create new projects and components in OSF, and as of February 19, 2027, all projects will become read-only. Already created public projects will remain accessible via their existing links and DOI - permanent digital identifiers; pre-registrations and preprints will continue to function. The OSF platform was opened for public use in 2012 and helped research groups maintain a record of their work, including plans, files, and decisions made. When the results were ready for publication, this record could be opened along with them, making the research process more transparent. Over time, OSF had to serve as a workspace, a place to record the research process, a repository for published results, and a free private repository. According to COS, the platform has over one million registered users and over 29 million published files. However, 63% of projects - over 650,000 - were never made public, and nearly 200,000 users used OSF only for private storage. Thousands of spam accounts uploaded pirated movies and advertisements to the platform. Maintaining such a system would cost an estimated $4-5 million per year, while regular revenue covers only 10-20% of this amount. Therefore, OSF will focus on public research records, including plans, pre-registrations, preprints, and links to results. New data, code, and other materials can be stored in a suitable service or repository and then linked to OSF records. As explained by Brian Nosek, "researchers will have to use a larger number of tools, but each of them, including OSF, will perform its role well in open science". After February 2027, completed public projects will be preserved as accessible records of work, with new data and code living in multiple services, and OSF linking plans and preprints to external materials, as cited in Nature Aging, July 2026. 🔗 Read original →0,00%
- 14 авг.Japan Regulates Cell Therapy Japan and South Korea regulate cell therapy through clinic plans and drug registration for specific diseases. On August 7, BioPharma APAC published a breakdown of lawful cell intervention pathways in the longevity market. It distinguishes three forms: research, a procedure by an approved clinic plan, and a registered drug for a specific disease. The phrase "cell therapy for longevity" encompasses three different things: clinical research gathering data, an approved plan allowing a specific clinic to perform a described procedure, and drug registration giving a product permission for use in a particular disease or condition. These regimes distribute the responsibility for gathering evidence differently. In Japan, the Regenerative Medicine Safety Act regulates the provision of regenerative medicine with unapproved cell products under the Pharmaceutical and Medical Device Act. A facility submits a procedure plan, which a certified committee reviews considering the risk class. Since May 31, 2025, the plan must indicate scientific validity criteria, including expected efficacy, and annual reports compare treatment outcomes with these criteria. In South Korea, an amendment effective since February 2025 added a separate regenerative treatment pathway. The Regenerative Medicine Foundation handbook states that such procedures can only be performed by institutions designated by the Minister of Health, according to an approved plan. Low-risk methods are the exception; for the rest, a clinical trial must be completed first, and the order is intended for severe, rare, or incurable diseases. The same cell method can be a research study, a procedure by a clinic plan, or a registered drug, as cited in Nature Aging, July 2026. 🔗 Read original →0,00%
- 14 авг.Protein Helps Intestine Recover The protein ZFP36L2 helps the mouse intestine recover, and cancer cells in models of colon and rectal cancer to settle in a new organ. In a Nature article from August 5, 2026, researchers described the ZFP36L2 protein, which terminates the stress program of intestinal cells after damage. The intestinal mucosa is almost continuously updated, with stem cells living in small depressions in the mucosa, giving rise to new epithelial cells. After damage, their supply can decrease, and some mature cells return to an early state to replenish this supply. The authors of the article in Nature traced what happens between damage and this return, finding that the cell first activates a stress program, then ZFP36L2 binds to mRNA of the stress response and helps destroy it. When these signals fade, the cell can reacquire the properties of an intestinal stem cell and participate in tissue repair. The authors tested this chain in cells, organoids, and mice, finding that without ZFP36L2, the intestinal epithelium recovered worse after colitis, and cancer cells had difficulty settling in other organs, such as the liver and lungs. 🔗 Read original →0,00%
- 14 авг.Ghost in the Shell The new Ghost in the Shell series begins by demonstrating how micromachines connect to a cyborg's brain tissue, creating a stable interface between the living brain and artificial body. This technology is necessary in the world of GiTS, but it also poses a real-world problem: the body perceives the implant as a foreign object and tries to isolate it with scar tissue. Neuroengineering is currently trying to solve this problem. In 2025, researchers developed a special coating for neural implants using BDNF, a protein that naturally participates in neuron growth and connection. The idea is to make the brain tissue not reject the implant, but instead form a more stable connection with it. Such coatings have allowed for high-quality brain signal recordings to be maintained for over a year in experiments. While real technologies are still far from the micromachines in GiTS, which can move freely inside the body and perfectly connect artificial and biological structures, the problem presented by Masamune Shirow in 1989 (in the manga) has proven to be absolutely real: how to create a durable connection between the brain and machine. The series also explores the theme of Motoko Kusanagi's personality, whose body is almost entirely artificial, raising the question of where the line between human and machine lies. This is a variation of the famous paradox of the ship of Theseus: if each part of the ship is gradually replaced, does it remain the same ship? Applied to humans, the question becomes even more complex: if neurons are gradually replaced with artificial analogs, will consciousness be preserved? GiTS does not provide a simple answer, instead showing a gradual blurring of the line between humans and machines. The series' third theme is closer to modern times - data security. The plot revolves around a routine identity check that becomes the cause of a data leak. While this may seem like science fiction from 2029, similar problems exist today, such as the 2015 hack of the US Office of Personnel Management, which resulted in the theft of data from 22.1 million people. The future is defined not only by the creation of new technologies but also by how well we understand their weaknesses. Combining the brain and machine is complex, but understanding what makes us human is even more challenging. Protecting digital identity in a world where everything is connected to the network may be one of the main tasks of the future, which is why Ghost in the Shell remains relevant. 🔗 Read original →0,00%