Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel
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منشورات القناة
PROTEXI Vaccine
The PROTEXI vaccine directed memory of COVID-19 against tumors in humanized mouse experiments. On July 27, a study on the dendritic cell vaccine PROTEXI was published in Nature Communications. In experiments on melanoma and breast cancer in mice, researchers pre-established CD4 memory to a model protein fragment and used it against the tumor. In a separate experiment on humanized mice with Spike peptides, the tumor load was reduced.
The anti-tumor vaccine must solve two tasks: CD8 T cells must recognize the tumor target, and CD4 T helpers must assist in launching this response. Dendritic cells capture protein fragments and present them to both types of T cells. Usually, CD4 assistance is attempted to be induced by tumor fragments. However, finding a fragment that suits different people is difficult.
The authors of the PROTEXI study tested a different approach: placing a tumor peptide for CD8 cells and a familiar peptide for CD4 cells in one dendritic cell. In experiments on ordinary mice, this memory was pre-established with a model protein fragment. In the experiment on humanized mice, Spike peptides and immune cells from COVID-19 vaccinated donors were used. The sense of the design became apparent in comparison: one dendritic cell with both peptides restrained melanoma better than a mixture of cells where the helper and tumor signals were carried by different cells.
🔗 Read original →
| 2 | p53 Mutant Unfolds Faster
Алика Паркс proposed an experiment to check if the mutant p53 unfolds faster than the normal one under weak stretching. On July 29, independent researcher Алика Паркс published a calculation and code for such an experiment. She suggests applying a constant weak force to a single molecule of mutant p53 and measuring how quickly the protein loses its folded form.
p53 responds to DNA damage by stopping cell division to repair the genome or initiating cell death. p53 mutations are found in approximately half of tumors, with some making the DNA-binding domain of the protein less stable. In a 1997 study, several tumor variants of this domain were found to be less stable in solution than normal p53. The Y220C variant has a single amino acid substitution that creates a cavity on the surface of the protein, reducing its stability.
In a 2008 study, small molecules were designed to bind to this cavity, increasing the temperature of melting and slowing down denaturation. Паркс proposes using this vulnerability differently: holding the protein under stretching until the less stable variant unfolds. According to Паркс' calculation, Y220C unfolds approximately 100 times faster than the normal domain under a constant force of 3-5 piconewtons. The difference in unfolding speeds translates into a difference in the fraction of unfolded molecules.
🔗 Read original → | 5 |
| 3 | AI Crypto Breakthrough
Anthropic published the results of Claude Mythos Preview's work on two cryptographic tasks on July 28. The model helped recover the HAWK-256 key and accelerate an attack on a seven-round version of AES-128. Digital signatures confirm who signed a message or owns a digital certificate. HAWK was a NIST candidate for post-quantum signatures, with its security based on a lattice problem.
The model found symmetry in HAWK that reduces the key recovery problem. Previous work had linked this symmetry to a possible attack, but it had not been found in the scheme itself. The team reduced the key search to finding a short vector in a space of roughly half the dimension and demonstrated complete recovery of the HAWK-256 key.
In the second work, the model accelerated the cryptanalysis of seven-round AES-128 by 200-800 times. The previous method for each case iterated over 256 values of one byte of the key. Mythos proposed a Möbius Bridge fingerprint, which is the same for all these values, so one step of iteration disappeared. According to Anthropic, the search, development, and verification took around 60 hours and required approximately $100,000 in API expenses. The key idea emerged in three days, and Anthropic researchers spent hundreds of hours verifying and preparing the article, citing Nature Aging, July 2026.
🔗 Read original → | 6 |
| 4 | Quantum Chemistry Advance
Pure State Labs' Tayler Vitale has proposed measuring spin in quantum chemical calculations. On July 20, Vitale released an open audit of quantum chemical calculations of iron-sulfur clusters, checking the spin states obtained by the SQD method. Quantum chemistry seeks the electronic state of a molecule and compares the found options by energy.
The iron-sulfur clusters have close-in-energy states with different total spin, a characteristic of the aggregate of electrons. A singlet has a total spin of zero, while a triplet and quintet describe other electronic configurations that affect the course of the reaction differently. The work of IBM and RIKEN applied SQD to [2Fe-2S] and [4Fe-4S] clusters, gathering a set of electronic configurations from quantum processor measurements.
Vitale added a check of ⟨S²⟩, a quantity that shows the spin composition of the found state. According to his calculations, published SQD launches for these clusters gave high-spin mixtures, although the goal was a singlet. In the largest restored example of [2Fe-2S], he obtained ⟨S²⟩ = 1.3711 when expected for a singlet was zero. Vitale published the code, data, and reproduction commands, proposing to show the measured spin alongside energy and check the composition of close states, as cited in Nature Aging.
🔗 Read original → | 7 |
| 5 | Fast Track for ISM6331
The FDA granted Fast Track status to Insilico Medicine's ISM6331 on July 29 for the treatment of unresectable malignant pleural mesothelioma after prior therapy. This status allows for more frequent discussions with the regulator on trial design, while the phase 1 study continues to enroll participants.
ISM6331 is intended for adults whose disease has progressed after anti-PD-1 therapy, with or without anti-CTLA-4, and platinum-based chemotherapy. According to Insilico, this is the first Fast Track status for a program from the company's AI-developed pipeline. The Fast Track designation changes the interaction with the FDA, enabling more frequent discussions on trial design, biomarkers, and development plans, as well as written feedback.
As listed on ClinicalTrials.gov, an international phase 1 study is underway with a planned enrollment of 100 participants. Doctors are investigating which doses cause unacceptable toxicity, what adverse events occur, and what dose to take into phase 2. The treatment is administered in a capsule once daily. Insilico describes ISM6331 as a TEAD protein inhibitor associated with the Hippo signaling pathway, which is involved in cell division and survival.
In its Chemistry42 platform, Insilico built molecular variants based on the target structure and ranked them according to its own estimates, selecting ISM6331 for human testing. The phase 1 study is already ongoing, and Fast Track adds regular contact with the FDA to it. Insilico received this status for a specific molecule that its system helped select for clinical validation, as reported in Nature Aging, July 2026.
🔗 Read original → | 5 |
| 6 | GSK Expands Partnership
GSK and Relation announced an expansion of their research collaboration on July 30. Relation may receive up to $110 million in upfront and success-dependent payments for a series of experiments on human cell models. These experiments involve detailed descriptions of cells, including active genes, proteins, and other molecules. However, to understand the effects of modifying a specific gene or adding a compound, researchers must intervene in the cell's function and observe the changes.
The experiments will measure cellular responses over time, using multi-omic measurements to gather various types of molecular data. This data will be used to create records of the effects of specific interventions on cells. Relation's cell biology models, called MORGAN, will be trained on these data to predict human cell reactions to genetic and pharmaceutical interventions. The goal is to identify potential therapeutic targets for further experimentation.
GSK has previously collaborated with Relation, including a December 2024 agreement to identify targets for therapies for fibrotic diseases and osteoarthritis. The new deal focuses on funding a series of experiments to create temporal records of the consequences of interventions. The data will help MORGAN narrow down the list of hypotheses for further laboratory testing, as described in the company's announcement.
🔗 Read original → | 8 |
| 7 | Cancer Spreads After Chemo
Researchers found that cisplatin-treated ovarian cancer cells released fructose, which helped the cancer spread in mouse models. On July 30, authors of a study in Nature Aging traced this process in high-grade serous ovarian cancer cells and mice. The fructose from the medium where the cells lived after chemotherapy altered the metabolism of neighboring cancer cells and facilitated their separation.
The cisplatin damages the DNA of cancer cells, and some of the cells stop dividing but remain alive and release molecules into the surrounding environment. This state is called senescence, and the set of released substances is called SASP, the senescent-associated secretory phenotype. In the Nature Aging article, researchers worked with high-grade serous ovarian cancer, a common aggressive subtype of this tumor.
They collected the medium where senescent cells lived after cisplatin and added it to dividing cells of the same tumor. In cell clusters, cancer cells separated from each other more often. When this medium was introduced to mice three times a week, more tumor nodes appeared in the abdominal cavity. The authors searched for the active component among small molecules and found that added fructose itself caused cell separation.
🔗 Read original → | 8 |
| 8 | Fruit Fly Lifespan Extended
Researchers found that enhancing the dADAR enzyme in intestinal stem cells of fruit flies prolonged their lifespan. On July 28, Science Signaling published an article about how the fruit fly intestine switches between recovering from injury and quiet tissue renewal. The authors enhanced dADAR in the intestinal stem cells of old flies, resulting in improved intestinal function and longer lifespan.
The intestine constantly updates its inner layer, with stem cells rarely dividing in undamaged tissue, but rapidly replenishing lost cells after injury. In old flies, this rhythm is disrupted, causing cells to divide too frequently, leading to improper intestinal growth and reduced self-maintenance. The authors traced this breakdown to dADAR, an enzyme that edits RNA, a molecule for assembling proteins.
In the intestinal stem cells of old flies, dADAR was found to be less active, leading to unedited RNA of the Pumilio protein, which in turn fails to restrain the production of MAPK signaling pathway components. The researchers discovered that enhancing dADAR in the stem cells of old flies alleviated age-related intestinal dysfunction and extended their lifespan, as reported in Science Signaling.
🔗 Read original → | 11 |
| 9 | Blockade Reduces Inflammation
The blockade of the citrate carrier weakened the inflammatory secretions of aging cells in old mice. On July 29, Nature published a study of the metabolic step that helps an aging cell activate inflammatory genes. After three months of CTPI2 treatment, old mice showed reduced signs of inflammation and improved healthspan - health and physical function metrics.
Aging cells stop dividing after damage or strong stress, but remain in the tissue. Many such cells secrete SASP, an inflammatory mixture of cytokines, growth factors, and enzymes. This changes the environment around the cell and the functioning of neighboring cells; over time, this background supports inflammation in tissues. Mitochondrial DNA and RNA can enter the cytosol, the cell's inner fluid. The cell perceives them as a sign of infection and activates proteins that trigger inflammatory genes.
For SASP to work, another step is needed: genes must become accessible for reading. In the article by the group of Élène Martinie, this step was traced from mitochondria to chromatin. The mitochondria produce citrate, and the SLC25A1 protein exports it to the cytosol. There, citrate is converted into acetyl-CoA. This molecule attaches to histones - proteins around which DNA is packed - and opens up DNA sections near SASP genes. The inflammatory signal gains access to these genes and triggers the release of molecules.
🔗 Read original → | 8 |
| 10 | NSF PhD Pilot
The National Science Foundation of the USA has announced a pilot program, UIDP I-PhD, with a budget of $47 million over five years to support the four-year education of more than 250 STEM PhD students. The industrial partner will fund at least one year of practical work on the dissertation, and each student will have academic and industrial mentors from both the university and the company.
The NSF cites the context that among engineering, physical, computer, and information science graduates with a defined workplace, over 65% choose industry. The UIDP I-PhD program brings the university and company together at the stage when the PhD student is forming their dissertation topic and research skills. The pilot is led by the University-Industry Demonstration Partnership, an association of universities and companies.
The university funds the first year of training, while the NSF funds the subsequent years. The industrial partner takes on at least one year of practical work, where the PhD student conducts research for their dissertation on the company's premises. The company pays for the work on the dissertation and participates in scientific supervision, rather than taking the graduate student on a regular internship. Each participant will have academic and industrial mentors, and the university and company together determine how this work will be incorporated into the degree preparation.
The pilot program starts with the first cohort in fall 2026, and the NSF has allocated funds for a five-year pilot, with more than 250 PhD students participating in the first wave across the country, as reported in University-Industry Demonstration Partnership.
🔗 Read original → | 11 |
| 11 | ICON Partners with Anthropic
ICON, a contract research organization, announced a multi-year partnership with Anthropic on July 28. The company plans to utilize Claude in its Orbis platform for tasks such as clinic selection, risk assessment of enrollment disruption, protocol modeling, and client access to ICON's data and expertise.
The clinical trial process often loses time before the first patient receives treatment. Sponsors select hospitals and clinics with patients who have the desired diagnosis and characteristics, then the team agrees on a protocol, including participant inclusion criteria, laboratory tests, and observation frequency. Each protocol amendment sends the document back for approval, delaying the start.
The announcement described four tasks for Claude: OneSearch and OnePlan will aid in center selection and evaluation, a predictive analytics system will identify risk signals in ongoing trials, such as enrollment deviations from the plan, and another tool will model protocol variants before document submission to identify potential future amendments. According to Pip White, Anthropic's leader in Ireland, the UK, and Northern Europe, delays are primarily due to participant enrollment: "participant enrollment is one of the biggest bottlenecks in clinical development, causing up to 80% of trials to be delayed".
The medication reaches the first patient after a series of organizational decisions, including finding a suitable center, agreeing on a protocol, and recruiting participants who meet the protocol's conditions. ICON conducts trials for pharmaceutical and biotechnology companies and plans to integrate AI into these repetitive decisions, using Claude to aid teams in making decisions before clinical data appears, specifically in center selection, enrollment planning, and protocol preparation, as reported in undisclosed clinical development publications.
🔗 Read original → | 7 |
| 12 | Biological Age Test
Ирина Конбой and Мэтт Кэберлайн discussed what a biological age test should show on July 29. Конбой suggests measuring disruptions in gene regulation, while Кэберлайн wants to check if the test result is repeatable and predicts health. Epigenetic clocks use DNA methylation and calculate age based on the pattern of these chemical marks.
Конбой proposes using the same data to measure the spread of methylation in DNA regions where the average level of methylation remains constant with age. For the same blood samples, eight epigenetic clocks differed by an average of 17 years. Конбой wants to identify specific disruptions in gene regulation in the same data, which she links to the loss of regulation.
Her approach involves measuring the spread of methylation values between people, which increases with age. This spread is what Конбой calls epigenetic noise. Her group described this approach in a 2023 article, where they selected CpG sites with consistent methylation levels and summarized the spread of values. Кэберлайн wants this signal to become a testable metric, which would require checking if the result is repeatable in parallel samples and if it predicts future organ function, disease risk, or treatment response.
🔗 Read original → | 6 |
| 13 | Biological AI Model
Jonathan Stelzer and Amos Tanay propose building biological AI around living system processes. On July 28, Stelzer and Tanay published an article in Cell on "biological language models". The authors suggest training AI on repetitive processes of an organism and combining molecules, cells, space, and time in one model.
Many models already find patterns in DNA sequences, protein structures, and cell images, answering specific questions such as cell type, protein appearance, and risk associated with a set of features. However, experimenters often need to track the chain of events that led a cell to its state and choose an intervention in that chain.
The authors propose taking a canonical biological process - a repeating sequence of events in a living system - as the basis for models. In such a model, molecular changes, cell states, and tissue context should be combined into one sequence, rather than a set of independent measurements with a final label.
The authors call this system a "model of the world" for biology, which should link data to mechanism, showing how molecular and cell states change in space and time. The connection can be tested experimentally by changing the experimental condition and comparing the result with the model's prediction.
This idea develops the "virtual cell" program, where researchers have tried to represent and simulate molecules, cells, and tissues in different states. The new article proposes organizing these data around a process with its own dynamics, where the developer should determine which process the system explains, which measurements relate to its different moments, and what intervention will test the proposed connection.
Aging changes also pass through molecules, cells, and tissues over the years, and biological age assessment reduces the sample state to a single indicator. The process model asks a different question: what change in the cell leads to a change in tissue, and at what step can the experiment change the further course of the process.
🔗 Read original → | 5 |
| 14 | Age Cell Analysis
Researchers trained scGPT and Geneformer on 1.3 million individual cells from four species. The models classified cells into young, middle, or old age groups with 78.6% and 80.5% accuracy. The study used cells from a fly's head, a whole worm, mouse tissues, and human blood cells.
The authors mapped genes from these species to 2,337 human analogs and tasked both models with determining the age group of each cell. scGPT reads gene activity levels, while Geneformer considers the order of genes by activity. Both models found an age signal but highlighted different gene sets.
When the data was split by donor, the accuracy ranged from 51% to 73%; when the model was trained on one species and tested on another, the accuracy dropped to 29-41%. The most consistent association was found with scGPT, which ranked RPL12, a ribosomal protein gene, as the top feature across all four species.
🔗 Read original → | 6 |
| 15 | Robot Measures Cryoprotectant Thresholds
A team from Oregon State University has assembled a robot that measures the vitrification threshold of hundreds of cryoprotectant mixtures over a week. On July 22, an article was published about the setup, which consists of three 384-well plates. It determines the minimum concentration for each cryoprotectant mixture at which the solution transforms into glass, rather than ice, when cooled.
When freezing, water forms ice crystals that damage cells. Cryoprotectors prevent water molecules from gathering into crystals, making the solution glass-like. For each mixture, the concentration that suppresses ice while not making the solution too toxic for cells must be found. Typically, this search is done manually, but the authors have transferred this cycle to the three 384-well plates. The robot prepares mixtures, a camera distinguishes transparent wells with glass from those with ice, and the program selects the next concentration using a binary search.
One run yields 1,152 measurements, and after five steps, the threshold is found with an accuracy of 1% mass concentration. Over a week, the setup collected around 26,000 measurements and approximately 400 vitrification threshold values. The authors estimate its performance to be about 50 times higher than that of test tube experiments. The threshold depends not only on the solution's composition but also on the experimental conditions.
🔗 Read original → | 5 |
| 16 | Pasta Analyzes Aging
The authors from the Karolinska Institute published an article on Pasta, an open set of programs for analyzing transcriptomes, on July 27. It estimates the age shift by gene activity and suggests which chemical or genetic effects to test in cells. In the article, Jerome Sailon and colleagues trained Pasta on 17,212 samples of healthy people from 21 studies.
The transcriptome is a set of genes that a cell is using at the moment. The model compares which ones are more and less active within one sample and calculates the relative age score based on this order. One model works with different ways to measure gene activity: regular RNA sequencing, single cells, and old microchips. Usually, aging clocks give only a number: the sample looks younger or older.
But the number depends on the model: eight epigenetic clocks gave the same blood samples estimates with a spread of 17 years on average. The authors of Pasta found another application for the age score. They passed the model through the Connectivity Map, an archive of cell reactions to substances and gene changes. It contains more than three million transcriptomes of 248 cell lines after more than 30,000 chemical and 14,000 genetic effects.
🔗 Read original → | 6 |
| 17 | Timusny peptide boosts immunotherapy
Researchers found that a thymus peptide called timulin can weaken age-related inflammation in old mice and make PD-L1 blockade more effective against their tumors. The peptide has not been administered to humans yet. The thymus is an organ where T-cells mature, and the researchers tested whether a peptide secreted by the thymus could weaken inflammation in monocytes and macrophages, cells that protect the body from infection.
As organisms age, these cells more frequently release inflammatory proteins IL-1α, IL-1β, IL-6, and TNF-α, which the authors associate with a weaker T-cell response to tumors. To isolate bone marrow cells from signals from other tissues, the researchers connected the blood flow of young and old mice and then transplanted bone marrow between them, identifying timulin as a thymus peptide whose activity decreases with age.
In a Nature Communications article from July 21, a week of timulin injections reduced the proportion of myeloid cells releasing inflammatory proteins in old mice. In cell experiments, the peptide suppressed NF-κB, a protein that activates inflammation genes. The authors also observed more inflammatory myeloid cells with age in healthy donors from 21 to 87 years old, and when they treated blood cells with timulin in a test tube, the cells released fewer of those proteins.
🔗 Read original → | 7 |
| 18 | Martin Jensen Warning
Martin Borch Jensen, a biotech entrepreneur, wrote on July 27 that the $2 billion invested in Altos Labs may hinder the search for a therapy through cellular reprogramming. Jensen argues that when a working method is still being sought, funds should support different attempts and allow for changing plans after experimentation.
Jensen acknowledges that Altos has significant capital, Nobel laureates, and strong leadership, but believes that after such an investment, the company is forced to present a clear plan, even though the path to therapy is still being explored through experiments. Cellular reprogramming attempts to restore a more youthful state to adult cells by temporarily activating genes that control other genes or using chemical compounds.
According to Jensen's model, a large company may choose a main hypothesis too early, hire people based on it, and build budgets and reporting around it. Then, decisions are made within the existing structure, making it more expensive to correct errors and take longer to change course. Jensen suggests giving $20 million to ten small teams, allowing them to try different approaches and increasing the stakes after achieving a working result, as described in Nature Communications and the NewLimit program.
This approach is not without strong counterarguments, including the fact that a large laboratory can also conduct multiple independent programs, as seen in the example of Bell Labs, which Jensen discusses in his response, citing single underscores such as Nature Aging, July 2026.
🔗 Read original → | 10 |
| 19 | Ono Adopts AI Agent
Ono Pharmaceutical and Phylo announced on July 28 that researchers at the Japanese pharmaceutical company will work with Biomni Lab, an agent system for biomedicine tasks. According to the companies, it collects experiment history, works with internal data, suggests the next experience, and performs computational analysis.
The search for a drug is not just about one successful hypothesis. A researcher chooses a target, compares past experiment results with new data, decides what to test an idea with, and interprets the results. At each step, they have to search for records, launch programs, and explain to colleagues why the next experiment should be done in a certain way.
Ono Pharmaceutical and Phylo reported that Biomni Lab will enter this work with researchers searching for new drugs. A scientist formulates a task, and the agent selects a sequence of actions: links experiment history with internal data, helps plan an experiment, and launches computational biology tasks. Biomni Lab should preserve not only the answer but also the path to it, as described in an article about Biomni in Science.
Thanks to this, a researcher can see what data the analysis was based on and what led to the proposal of the next experiment. "Our researchers quickly mastered Biomni Lab and saw its potential for accelerating everyday drug discovery," said Seisi Katsumata, corporate director and executive vice president of Ono for research and drug discovery.
🔗 Read original → | 8 |
| 20 | UK Biotech Funding
The £1.6 billion funding round for Isomorphic Labs accounted for 78% of British biotech venture investments in the second quarter. According to the BioIndustry Association, British biotech companies raised £2.05 billion in venture capital from April to June, with £1.6 billion of that amount coming from Isomorphic Labs' round B funding.
The BioIndustry Association's quarterly report highlights that one deal significantly changes the market picture, with £1.6 billion out of £2.05 billion representing around 78% of all venture investments in British biotech for the second quarter of 2026. When including other equity investments, the total amount reached £2.11 billion, a five-year high.
On May 12, Isomorphic Labs announced the closure of its $2.1 billion series B round, led by Thrive Capital, with plans to use the funds to expand its work, develop its AI system for drug design, and advance programs in several therapeutic areas. The BIA reports an equivalent value of £1.6 billion for this deal, which was cited in the BioIndustry Association report.
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