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Head:China makes collaborative efforts in healing people with mental disorders with AI

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BEIJING, Nov. 20, 2024 /PRNewswire/ — After a long day at work, Ni Beiyue sits in front of his computer at home, eagerly immersing himself in the world of creating short videos with AI (artificial intelligence) tools. For nearly three hours, he brainstorms video content, generates mental images using AI, and makes the necessary revisions. It is late in the night when he finally uploads the finished video to an online platform, but Ni Beiyue feels quite happy and fulfilled.

It’s hard to imagine that just a few months ago, the 45-year-old was a patient struggling with severe depression. With the help of AI tools, Ni Beiyue gradually channeled his heavy sadness into video creation, and eventually freed himself from hospitalization and medication – a miracle in the eyes of his doctor.

Mental health is a topic that the Chinese government and society have long cared about, and an important factor related to people’s well-being. With the rapid development of AI technology in China, various AI companies, hospitals, regional governments, and social organizations are creatively applying AI to improve mental health and treat psychological disorders.

From using AI algorithms and large models for assessment, monitoring, and rehabilitation training, to employing AI-generated tech – which includes AI-generated image, music, and video creation – for supportive psychological healing, these initiatives have, to some extent, shown promising results, the Global Times learned. They showcase the warmth of human compassion shining through the rapid advancements in China’s AI technology.
“I am grateful to have encountered AI during my darkest days,” Ni Beiyue told the Global Times. “It saved me.”

An outlet and bridge of emotion

In early 2023, Ni Beiyue was introduced to AI generative tools through a friend’s recommendation, at a time when his mental health was poor.

Ni Beiyue works in the transportation system in Wenzhou, East China’s Zhejiang Province. He recalled that due to immense work pressure and other factors, he was diagnosed with severe depression and spent six months in the hospital, taking medication with no improvement.

To help Ni Beiyue overcome his struggles with depression, his friend Ni Kaomeng, a seasoned generative AI enthusiast, shared some text-to-video tools with him. Ni Beiyue was quickly captivated.

“I graduated from an art school, and my passion for artistic creation has never faded, although my job is unrelated to that,” said Ni Beiyue. He said that the first time he used these AI tools, he felt his previous state of emptiness and confusion dissipate. “I seemed to see a glimmer of hope, as I could finally pick up art again.”

Despite having little knowledge of this new field, Ni Beiyue’s background in art, and the low entry barrier of generative AI tools, allowed him to quickly master the creation of AI videos. His creative enthusiasm then surged. Over the next four months, Ni Beiyue created and uploaded more than 120 self-made short AI videos, many of which featured lighthearted themes like cute animals. These videos garnered him a total of 30 million views, along with unprecedented confidence and joy.

AI video creation serves as an excellent outlet for Ni Beiyue’s negative emotions. He said that thanks to AI, now he has largely recovered, no longer needing medication for his depression. “Even my doctor was amazed,” he added.

Ni Kaomeng was pleased with his friend’s improvement in mental health. As the initiator of the China AIGC (AI-generated content) Industrial Alliance, a nationwide civil group of China’s AIGC industry insiders, Ni Beiyue’s experience has also inspired him to explore using AI tools to assist other groups facing psychological issues. He believes that AI tools can serve as an outlet for individuals with depression like Ni Beiyue to express their emotions, and can also act as a new bridge for patients with other mental health conditions – such as autism – to further connect with the world.

Ni Kaomeng said that in 2024, the alliance organized two public benefit activities related to children with autism, in collaboration with charitable groups. During these events, the artwork created by some autistic children was re-created and enriched using AI tools. The alliance also created an AI music video from their artwork, attracting tens of millions of views online.

“In my understanding, children with autism may have a lot to say internally, but find it difficult to express themselves through conventional means like language,” Ni Kaomeng told the Global Times. “The low entry barrier of generative AI tools can help them present their inner thoughts and bridge the gap with the world.” He said that the alliance members plan to hold more activities to support children with autism, including attempts to teach them how to create music using AI.

“If language limits some autistic children’s expression, then we will use AI tools to break through that limitation,” he noted.

In September, Ni Kaomeng’s alliance held an online exhibition focused on supporting children with autism. In about two months, it gathered 537 pieces of themed drawings, many of which were also reinterpreted with AI tools. The artworks from these “children from the stars” became even more interesting and imaginative under the interpretation of AI.

“The combination of my child’s drawings with AI has turned his dreams into reality,” said the parent of a participating child with autism surnamed Ma. “He felt an immense joy.”

More objective, quantifiable
There are over 10 million individuals with autism in China, with a conservative estimate of around 2 million children aged 0-14, according to the fifth report on the Development of Autism Education and Rehabilitation Industry in China released in April 2024. “Autism is the leading mental disability among children in our country,” Feng Rui, director of the Chengdu Frontier Brain AI Innovation Center in Southwest China’s Sichuan Province, told the media in April.

Diagnosing autism in young children has been challenging. Due to their age, very young children often struggle to express themselves fully and cannot undergo assessments effectively, making it difficult to distinguish autism from other developmental disorders, said Lü Zhuhai, a chief neurosurgeon at Nanjing Brain Hospital in East China’s Jiangsu Province. Similarly, the diagnosis of adolescent mental health issues such as ADHD and depression may not be sufficient if it relies solely on the work of psychiatrists, as it lacks objective and quantifiable assessments, Lü added.

“In clinical practice, we often encounter parents of children with depression asking if their child can stop medication. However, the criteria for determining whether a child’s depression has improved are usually quite vague, such as when a doctor asks the patient, ‘Do you feel better?'” Lü told the Global Times. “We need more objective data to assess whether the situation has improved.”

Interested in the potential of AI technology for diagnosing and rehabilitating mental health issues, Lü and his team have developed their own algorithm platform and database in recent years. They collected and analyzed various characteristic signals of mental disorders, such as neural networks, hormone levels, and brain waves, to assist in diagnosing children’s mental health issues.

At Feng’s innovation center, AI technology is also bringing about positive developments. For instance, a research team at the center has reportedly established an early diagnosis and identification system for children with Autism Spectrum Disorder (ASD) based on AI technologies, such as deep learning, transfer learning, and manifold learning. This system fills a gap in the Chinese domestic field, “achieving a diagnostic accuracy rate of 91.67 percent,” said Sichuan-based Fengmian News in April. 

Lü said that most of these AI devices and technologies have not yet been applied at the hospital level, but this is a promising start. “In the future, we will collaborate with special education schools, rehabilitation institutions, and research institutes, to ensure that AI technology benefits more people with mental health issues, especially children and teenagers,” he told the Global Times.

Government support

In July, the Chinese government released the “Implementation Plan for the Care and Promotion of Autistic Children (2024-2028),” which outlines a five-year initiative to improve the care service mechanisms and systems for children with autism. Notably, the plan includes the integration of 29 medical rehabilitation projects for children with autism into the national health insurance system, aimed at alleviating the medical and rehabilitation burdens on involved families.

Ni Kaomeng expressed his enthusiasm for this plan, saying that it signifies a commitment from the government and society to allocate more resources to support children with autism. Ni Kaomeng, who is also the deputy head of the Wenzhou Federation of Social Science, shared that the federation regularly organizes activities to care for children with autism and other mental health issues.

On a broader scale, the State Council of China in 2022 issued a plan to improve policies on national health during the 14th Five-Year Plan period (2021-2025), which places greater emphasis on mental health. The plan stated the goal of slowing the rising trend of mental health disorders and effectively controlling severe mental illnesses and occupational diseases by 2025. 
With national support, AI has significant potential in the detection and intervention of mental health issues, said Ni Kaomeng. He envisioned several possible applications of AI technology in this field, such as “AI psychologists” based on large language models, and an “AI network manager” that can monitor the depressive and suicidal tendencies of underage users through their posts.

“In the future, the government will encourage AI companies and institutions to participate more actively in serving patients with mental health issues, through ways such as policy subsidies and service purchases,” he said. “It will be a ‘two-way effort.'”

https://www.globaltimes.cn/page/202411/1323398.shtml

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SOURCE Global Times

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How Can Humanity Become Friends with the Ocean?

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BEIJING, Nov. 6, 2026 /PRNewswire/ — A news report from China.org.cn on China’s efforts in marine ecological governance:

“Look, white dolphins!” Such excited cries can often be heard along the coast of Xiamen, a city in east China’s Fujian Province.

The Indo-Pacific humpback dolphin, commonly known as the Chinese white dolphin, is considered Class I nationally protected wildlife in China. As apex predators in coastal waters, these dolphins are regarded as a barometer of marine ecosystem health. Back in the 1990s, however, rising shipping activity, coastal reclamation and near‑shore development severely encroached on their habitats.

To minimize disturbances to dolphin habitats, Xiamen established China’s first provincial‑level nature reserve dedicated to Chinese white dolphins in 1997. Since then, the city has continuously refined its coastal governance approaches, restricted activities with significant environmental impacts, and promoted cross‑regional collaboration in conservation. Many other ocean‑friendly initiatives have also been rolled out. These include restoring mangrove wetland ecosystems; implementing an “offshore sanitation” mechanism and organizing public beach‑clean‑up campaigns to regularly remove floating marine debris; and releasing nearly 8 billion aquatic animals across 18 species through stock enhancement programs. As a result, populations of several fish species, such as the wild large yellow croaker and yellowfin seabream, have returned to Xiamen Bay.

Recently, “AI bodyguards” have joined the conservation effort. High‑definition cameras, drones and intelligent recognition systems track dolphin activity round‑the‑clock. Automatic alerts are issued whenever vessels approach the dolphins in violation of regulations. Researchers have also created individual digital profiles for each dolphin, identifying them by their dorsal‑fin shapes and body spot patterns, while recording their movement trajectories.

Xiamen is a microcosm of China’s efforts in marine ecological governance — forging ahead boldly yet never walking alone.

Over the decades, China has taken a series of concrete steps: from founding its first marine nature reserve in 1963, to proposing the goal of “building a strong maritime nation,” and publishing the white paper “Marine Eco‑Environmental Protection in China”; from drawing marine ecological protection red lines, to actively engaging with the UN Decade of Ocean Science for Sustainable Development and signing major international agreements on marine conservation, including the UN Agreement on Biodiversity Beyond National Jurisdiction (UN BBNJ).

For decades, China has been answering a vital question through concrete action: how can humanity coexist harmoniously with the ocean and create mutual benefits?

The answer is becoming increasingly clearer. Today, China’s extensive coastline features clean waters and pristine beaches, with fish swimming freely and seabirds soaring overhead. Not long ago, China’s Blue Bay Restoration Initiative was named a UN World Restoration Flagship. Now, the 21st Xiamen World Ocean Week is officially inaugurated, bringing together experts, scholars and representatives from various countries and international organizations to discuss marine conservation and harmonious coexistence between humanity and the ocean. In marine ecological protection and governance, China is not only a proactive participant and practitioner, but also a contributor to sharing experience and shaping future approaches.

Along Xiamen’s shoreline, the sea breeze blows gently as children run after the waves, echoing the ongoing story of humanity and the ocean.

China Mosaic
http://www.china.org.cn/video/node_7230027.htm

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SOURCE China.org.cn

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OneStream Surpasses 600 EMEA Customers and Triples AI Adoption

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OneStream triples AI customer base and deepens investment across EMEA as Founder and CEO Tom Shea presents governed Finance AI framework at Web Summit

LISBON, Portugal, Nov. 6, 2026 /PRNewswire/ — OneStream, the AI operating system for modern Finance that unifies core financial and operational processes, embedding the governance, context, and control required to make AI work for Finance, today announced it has surpassed 600 customers in EMEA and more than tripled its Finance AI customers in the region since the end of 2025. The news comes as Founder and CEO Tom Shea takes the stage at Europe’s biggest tech event, Web Summit 2026, to detail a framework for auditable, contextualized AI for Finance.

“CFOs across Europe are realizing the real advantage of AI isn’t the smartest model – it’s AI operating within a strict framework of financial governance,” said Tom Shea, Founder and CEO at OneStream. “AI is the reasoning engine, but enterprise software must be the trust engine. Our acceleration in EMEA proves leaders want a financial control tower that delivers answers they can act on without operational risk. We will continue investing heavily in the local teams and partners helping them build this secure foundation.”

Accelerating EMEA Momentum
Over the past 12 months, OneStream helped more than 100 new EMEA customers modernize their tech stack and passed 600 customers in the region, with customers in more than 35 markets. Customers span industries including manufacturing, retail, banking and financial services, pharmaceuticals, and oil and gas. Notable EMEA customers include Grupo ACS, Delivery Hero, and Swatch.

Customers across the region are using OneStream to modernize core Finance processes, replacing fragmented legacy systems with a unified platform for financial close, consolidation, reporting, and planning. This unified foundation helps teams keep pace with complex regulatory requirements across EMEA, while providing the governed data necessary to leverage AI for accelerated insights and real business value.

OneStream’s Finance AI adoption is growing alongside its broader platform growth. The number of EMEA customers using OneStream’s Finance AI has more than tripled since the end of 2025.

To support this sustained regional acceleration, OneStream continues to scale its operations and partner ecosystem, building on its established regional presence across London, Manchester, Paris, Amsterdam, and Madrid.

“Finance leaders across EMEA are modernizing their core Finance platforms to keep pace with complex regulation and move faster,” said Matt Rodgers, EVP, EMEA at OneStream. “That modernization is what enables them to take AI from pilots to enterprise-wide deployment, because it gives them a data foundation they can actually trust. Our momentum in the region underscores a fundamental shift toward governed, unified enterprise platforms that deliver real business value.”

Building Trust in AI Agents

Shea will appear in a featured fireside chat titled “Why AI and SaaS Need Each Other” on Thursday, Nov. 12, at 1:25 PM on Stage 7. Moderated by Hope King, Founder of Macro Talk, and featuring Luminance CEO Eleanor Lightbody, the session will examine the evolving role of enterprise software as AI agents take on increasingly complex workflows. Shea will detail how governed data, strict access controls, and transparent audit trails determine how safely organizations can let autonomous agents act on their own.

To learn more about Shea’s session at Web Summit, click here.

About OneStream

OneStream is the AI operating system for modern Finance that unifies core financial close, planning, and operational processes and data, in one intelligent platform, all embedded with the governance, context, and control required to make AI work for Finance.

With over 1,900 customers, including 16% of the Fortune 500, a strong ecosystem of go-to-market, implementation, and development partners and 1,600 employees, we empower the Office of the CFO to become a critical driver of business strategy and execution. To learn more, visit onestream.com.

Media Contact

Jaclyn Proctor
Media Relations Contact
OneStream
media@onestreamsoftware.com

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SOURCE OneStream, Inc.

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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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SOURCE Insilico Medicine

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