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Insilico Open-Sources 24/7 Personal Longevity Superintelligence to Turn Quantified-Self Data into Predictive Health States and Aging Research

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CAMBRIDGE, Mass., Nov. 6, 2026 /PRNewswire/ — Insilico Medicine, a clinical-stage generative AI drug discovery company, today announced the open-source release of Longevity Grok, the Personal Longevity Superintelligence (PLSI) and launched the website longevitygrok.si, in collaboration with leading geroscience researcher David Sinclair from Harvard Medical School. Developed for the Grok Bot platform, PLSI is an open-source, multi-agent AI system designed to unify fragmented personal health records, track biological analysis, formulate personalized lifestyle interventions, predict and score post-intervention biomarker changes, as well as drive communal AI-powered geroscience research.

For decades, health management and longevity medicine have been hampered by severe data fragmentation. Laboratory blood panels, continuous glucose monitoring, wearable streams, epigenetic assays, and clinical records sit across disconnected portals, leaving patients unable to follow their biological trajectory and clinicians working from incomplete histories. Modern healthcare turns to LLMs to close that gap, however, without persistent, auditable memory or follow-up on if advice actually improves outcomes, they rarely outperform traditional methods.

Personal Longevity Superintelligence (PLSI) addresses this gap with a continuous, 24/7 automated research loop. It converts fragmented medical data into a standardized longitudinal health trajectory and generates accountable, predictive guidance through a multi-agent architecture. The system continuously forecasts health risks, proposes interventions, and scores outcomes through closed-loop feedback.

Running within Grok Bot’s secure environment, it coordinates a team of up to 30 specialized AI agents, standardizes heterogeneous records with clinical coding systems such as LOINC, RxNorm, and UCUM, and uses always-on routines to monitor longevity science updates, organize incoming data, and keep the personal health state current without constant re-prompting. The same system is framed for three complementary roles:

As a personal longevity assistant, PLSI turns scattered labs, wearables, epigenetic assays, and clinical files into a unified, audit-ready health trajectory on the user’s device. It proposes lifestyle, nutritional, or longevity interventions with an auditable “prediction card” (target biomarker, confidence interval, time horizon, and evidence grade), evaluates each plan through an agent-driven adversarial review. When follow-up results arrive, PLSI scores whether outcomes fall within the predicted interval, confirms direction, and tracks calibration over time, turning each choice into a checkable N-of-1 experiment. Users can also voluntarily allocate unused daily token quota to Idle Research in the background to find new ways to increase their lifespan.

As a physician’s assistant, PLSI supplies structured longitudinal context instead of fragmented PDFs and portal exports. Standardized representations and a coherent biological trajectory help clinicians better organize their workflow Prediction cards and evidence grades aid in decision-making, while closed-loop scoring after follow-up supports auditable discussion of response and adherence. PLSI also features safeguards that overrule AI discretion to keep  formal diagnosis and prescriptions solely with licensed physicians.

As a partner for aging research, PLSI extends individual tracking into communal discovery. Users may opt in to contribute consented, deidentified trajectories to Longevity Mothership via an anonymous relay with an irrevocable kill switch to purge records on demand. Idle Research is a modern take on volunteer computing platforms , such as Folding@home, which let autonomous researcher agents scan literature, formulate hypotheses, and design analyses based on  public databases to accelerate target discovery and other anti-aging discovery activities.

Across all three roles, privacy is the default: a zero-trust architecture keeps raw medical files and identifiable clinical records in the user’s environment , unless the user explicitly opts into communal research. Both the PLSI Client and the Longevity Mothership backends are fully open-source and freely available on GitHub for review and contribution. Both setups feature data controller agents, which scrub the data at egress and intake points to prevent entry re-identification.

PLSI is available to all Grok Bot users and can be installed by instructing your bot with the following one-liner:

Set yourself up using https://github.com/Insilico-org/plsi 

The agentic skills and code are provided as an open-source package which can be inspected and modified by all, according to their needs.

“Longevity Grok turns Grok Bot into an open platform where individuals, physicians, and scientists can use AI to better understand their health, predict the effects of interventions, and find ways to live longer, healthier lives,” said David A. Sinclair, Ph.D., Professor of Genetics and Co-Director of the Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School. “What makes this exciting is that people can contribute to scientific discovery while improving their own health, helping us understand why we age and how we might slow or even reverse it.”

“Currently, there are zero tools that are clinically proven to give a healthy person an additional year of life if they are already dieting, exercising, sleeping, and getting regular diagnostics,” said Alex Zhavoronkov, Ph.D., founder and CEO of Insilico Medicine. “Longevity Grok is a distributed system designed around a personal research space where you can work with your own data to optimize your health, longevity, and peak-span trajectories. As this system diffuses into the community, we expect to achieve longevity superintelligence, enabling a vast network of individuals to conduct autonomous research on their own biology while utilizing shared computation resources to pursue advanced longevity experiments. Aging is the only inescapable constraint on human freedom, and pushing this frontier is about giving people the optionality to remain young, healthy, and productive for as long as possible.”

Longevity has been central to Insilico’s mission since its inception. The company’s path drew industry attention in 2015 at the NVIDIA GTC conference, where Alex Zhavoronkov, Ph.D., founder and CEO of Insilico, challenged the tech world with a provocative question: “Can NVIDIA cure aging?” In 2014, Insilico established the annual Aging Research and Drug Discovery (ARDD) meeting, now widely regarded as a leading academic gathering for geroscience and biogerontology. The 13th ARDD, held at Harvard University in 2026, brought together leading academic investigators, pharmaceutical executives, and clinical pioneers to translate longevity discoveries into actionable medicine.

In 2026, Insilico accelerated the translation of AI-driven longevity research from experimental theory to transformative biological interventions. In April, the company announced the industry’s first longevity board of high-profile scientists, chaired by Andrew Adams, Ph.D., Group Vice President of Molecular Discovery at Eli Lilly and Company, to advance AI-driven aging research for drug discovery. In September, Insilico open-sourced an AI longevity toolkit, including LongevityBench, Longevity-LLMs, and LongevityClaw, with collaborators in a Cell cover study, accelerating research and therapeutic development. That publication follows Insilico’s contemporaneous Nature Biotechnology paper, in which Rentosertib, the company’s most advanced AI-driven pipeline candidate, showed biological age reversal according to Phase IIa clinical data across six independent proteomic aging clocks.

Since 2014, Insilico has published more than 50 research papers on aging and longevity, aging biomarkers, therapeutic targets, and therapeutics implicated in aging, longevity, and disease.

About Insilico Medicine

Insilico Medicine is a pioneering global biotechnology company dedicated to integrating artificial intelligence and automation technologies to accelerate drug discovery, drive innovation in the life sciences, and extend healthy longevity to people on the planet. The company was listed on the Main Board of the Hong Kong Stock Exchange on December 30, 2025, under the stock code 03696.HK.

By integrating AI and automation technologies and deep in-house drug discovery capabilities, Insilico is delivering innovative drug solutions for unmet needs including fibrosis, oncology, immunology, pain, and obesity and metabolic disorders. Additionally, Insilico extends the reach of Pharma. AI across diverse industries, such as advanced materials, agriculture, nutritional products and veterinary medicine.

For more information, please visit www.insilico.com

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Global Wisdom, Shared Future: Inaugural Global Energy Storage Colloquium Held in Xiamen

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XIAMEN, China, Nov. 13, 2026 /PRNewswire/ — The inaugural Global Energy Storage Colloquium was held in Xiamen under the theme “Frontiers in Dialogue•Powering Tomorrow’s Storage.” Hosted by HiTHIUM and co-organized by the Energy Storage Application Branch of China Industrial Association of Power Sources (CESA), the colloquium brought together leading international experts, scholars, and industry representatives. Participants discussed battery materials, energy storage technologies, power electronics, system applications and industrial innovation.

As energy storage develops toward longer durations, diverse technologies, larger capacity and greater system integration, the industry faces scientific and technical challenges involving battery materials, lifetime mechanisms, safety limits and power system integration. The colloquium provided a platform for experts to exchange views on these topics and explore how fundamental research and international collaboration can support continued innovation.

Participants came from Imperial College London, the University of Cambridge, Tsinghua University, Xiamen University, Huazhong University of Science and Technology, City University of Hong Kong and other institutions. Maochun Hong, Academician of the Chinese Academy of Sciences from the Fujian Institute of Research on the Structure of Matter, attended the event. Clare Grey, Dame Commander of the Order of the British Empire, Professor of Chemistry, University of Cambridge; Tim Green, Fellow of the Royal Academy of Engineering and Professor at Imperial College London; Shigang Sun, Academician of the Chinese Academy of Sciences and Professor at Xiamen University; Yong Yang, Distinguished Professor at Xiamen University; and Chongqing Kang, Professor at Tsinghua University served as co-chairs. Yunhui Huang, Professor at Huazhong University of Science and Technology served as chief advisor.

Jeff Wu, Founder and Chairman of HiTHIUM; Yong Liu, Vice Chair of CESA; and Kate Harrisson, His Majesty’s Trade Commissioner for China and Hong Kong, delivered remarks at the Colloquium.

According to Jeff Wu, energy storage is a systemic technology spanning multiple disciplines and sectors, and that its development depends on breakthroughs in fundamental research and international collaboration. He said HiTHIUM hopes to build on the colloquium to expand cooperation with leading universities and research institutions worldwide, deepen engagement between academia and industry, and help translate research into practical contributions. The company will continue supporting the colloquium as a lasting platform for exchange and collaboration.

Academic sessions covered battery mechanisms and characterization, degradation and lifetime prediction for grid-scale lithium-ion batteries, power system stability with high penetration of inverter-based resources, and the development of virtual power plants. Experts also discussed real-time, non-destructive battery testing, early warning of thermal runaway, energy storage opportunities at distribution transformer areas, and revenue streams from electricity market participation.

The three-day colloquium also included thematic sessions on energy storage materials and batteries, power and grids, systems and applications. Scholars visited HiTHIUM’s smart factory in Xiamen to learn about advanced manufacturing and industrial practices in China’s energy storage sector.

HiTHIUM looks forward to working with partners worldwide to advance energy storage technology and the industry’s development, supporting the global energy transition and a clean, sustainable future.

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Guangdong and Papua New Guinea: Taking roots across the Pacific

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GUANGZHOU, China, Nov. 13, 2026 /PRNewswire/ — A news report from South:

Few places on Earth feel as wild as Papua New Guinea. Spread across more than 600 islands, the Pacific nation is home to extraordinary cultural and biological diversity. But some of what comes from its waters is now travelling much further—all the way to dinner tables in China.

For local seafood exporter Tony Lan, China has transformed the scale of his business. His company buys wild-caught mud crabs from local fishermen before flying them to Chinese cities including Guangzhou.

“We used to sell a few hundred kilos a week to the local market,” Lan said. “But once we started exporting crabs to China, business just exploded. Now we’re moving 20 to 30 tons a week.”

The impact has spread beyond the company itself. Lan said families involved in the crab trade have been able to build better homes and buy televisions and generators.

But the connections between Papua New Guinea and Guangdong go far beyond seafood.

In Port Moresby, 21-year-old Maureen works as a receptionist for a Chinese company. Finding work is far from guaranteed. “A lot of degree holders, they don’t have jobs,” she said. “But you see me, I don’t have a degree, but I have a job.”

Her story leads back to Butuka Academy, the school she graduated from. Built with support from Shenzhen under its sister-city relationship with Port Moresby, the academy now accommodates around 3,000 students. Maureen says the computer skills she learned there—including Microsoft applications, web skills and Excel—are the same ones she now uses at work.

Another connection has taken root in soil.

Juncao, a grass-based agricultural technology developed in China, was introduced to Papua New Guinea in the 1990s. Initially used for mushroom cultivation, it has since found applications ranging from livestock feed to fibers and bioenergy. Over three decades, the technology has spread to more than 9,000 farming households, benefiting around 30,000 people.

For Georgina, whose family was among the early adopters, Juncao has shaped both family life and career. After struggling to find a job for two years, she returned to mushroom farming and helped local farmers find markets. That experience eventually led to her current work with a Shenzhen company exploring new uses for the grass.

“I want everyone to know about Juncao, the benefits of it,” she said. “It’s part of me.”

For National Capital District Governor Powes Parkop, such exchanges are part of Papua New Guinea’s wider development journey.

“Being a rural-based, traditional economy, now trying to become a modern economy, we can only learn from China,” Parkop said. He also stressed the importance of APEC for smaller economies, saying PNG does not always have the means to engage with economies across the Pacific individually, “and we have the opportunity at APEC.”

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SOURCE South

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Longsys and Lexar Showcase Industrial, Automotive and Edge AI Storage at electronica 2026

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MUNICH, Nov. 13, 2026 /PRNewswire/ — Longsys (301308.SZ/09976.HK) and its International high-end consumer storage brand Lexar are exhibiting at electronica 2026 in Munich, Germany, from November 10 to 13. Under the theme “Integrated Storage Empowering Edge AI,” Longsys is launching an industrial-grade wide-temperature mSSD and showcasing automotive storage and Edge AI solutions for industrial equipment, intelligent vehicles and smart devices.

Industrial Wide-Temperature mSSD

The new XP2390Mi industrial-grade wide temperature mSSD targets demanding edge applications such as industrial AI inspection, edge control, outdoor devices and embodied robotics. Supporting -40°C to 85°C and featuring PCIe Gen4×4 and NVMe 2.0, it offers 128GB to 1TB capacities, with sequential read/write speeds of up to 7,400/6,200MB/s.

Its SiP (System-in-Package) design integrates the controller, NAND flash and passive components in one package, reducing board-level solder joints and associated failure risks. It features IP57-rated dust and water resistance, shock and vibration resistance, anti-sulfuration protection, firmware-level power-loss protection and security features. The 1TB version delivers an endurance rating of 600–800 TBW. The product offers optional thermal management extensions and M.2 form factors, including 2230, 2242 and 2280, providing customers with greater flexibility for different device space and mechanical integration requirements.

Automotive Storage for Intelligent Vehicles

Longsys presents automotive-grade UFS, eMMC and LPDDR, as well as industrial/automotive-grade SPI NAND Flash. UFS 4.1 features Wisemem’s self-developed 5nm WM7400 controller, delivering sequential read/write speeds of up to 4,200/4,000MB/s and capacities from 128GB to 512GB. The portfolio supports in-vehicle systems, data logging and future onboard AI applications.

Longsys’ automotive storage capabilities are supported by AEC-Q100 reliability qualification, in-house packaging and testing, and collaboration with more than 20 chipset platforms, 20 automakers and 60 Tier 1 suppliers. Lexar is showcasing dashcam USB drives, memory cards and industrial-grade SD/microSD cards for sustained in-vehicle recording, including sentry-mode use.

Storage and Memory for Edge AI

For AI PCs, AI Boxes and other edge AI devices, Longsys is demonstrating an AMD-platform AI host powered by XP2380MA AISSD™ and AIDIMM™. The AISSD combines a 128GB Static SLC tier for demanding AI workloads with a 512GB/1.5TB QLC tier for models, applications and general data. With the iSA™ Storage Agent, it enables on-demand MoE expert loading and SSD-based data orchestration, helping extend model deployment beyond limited DRAM/VRAM capacity. AIDIMM, based on LPDDR5x, provides a 256-bit interface and bandwidth of up to 307.2GB/s.

Other highlights include AILPBGA™, a high-bandwidth embedded memory solution; HLCache™ UFS, co-optimized with Allwinner to improve multitasking on memory-constrained devices; and UFS 4.1 with iSA, adapted for Qualcomm’s 6th-generation Snapdragon 8 Super Edition platform. At the Snapdragon Summit, the solution powered local end-to-end inference for a 30B-parameter MoE assistant.

From industrial and automotive applications to AI computing at the edge, Longsys continues to advance integrated storage through product innovation and platform collaboration.

About Longsys

Founded in 1999, Longsys (301308.SZ/09976.HK) is a globally leading branded semiconductor memory enterprise, integrating R&D, design, packaging and testing, manufacturing, and sales services. For more information please visit https://www.longsys.com/, and follow Longsys on LinkedIn and Facebook .

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