Synapxe signs agreements with OpenAI, Databricks and Google Cloud to boost AI skills and solutions
[SINGAPORE] Healthtech agency Synapxe announced on Monday (Jun 16) that it has inked a number of agreements with tech players to boost its artificial intelligence (AI) talent and solutions.
The agreements were inked at AI Accelerate, a conference organised by Synapxe on AI and healthcare.
At the conference, Minister of Health Ong Ye Kung said: 'There must therefore be a sharp focus on practical use cases in transforming healthcare that will deliver measurable outcomes either in enhancing accuracy and speed of diagnosis, improving treatment or prevention, or increasing productivity for healthcare professionals.'
A collaboration agreement was signed with OpenAI to work on skills and to apply its technology in the healthcare setting.
A prototype has been developed to facilitate transactional services such as booking appointments and answering general healthcare questions. The interactions are excluded from training OpenAI's model by default.
Oliver Jay, managing director of OpenAI's international strategy and openrations, said: 'This collaboration will help us to understand how our technology can meet real needs in the public system. It also offers a chance to test and refine our systems in ways that could scale globally.'
BT in your inbox
Start and end each day with the latest news stories and analyses delivered straight to your inbox.
Sign Up
Sign Up
Synapse also signed a memorandum of understanding (MOU) with data, analytics and AI platform company Databricks to promote adoption of AI in the public healthcare sector. The partnership is targeting to train and certify 50 to 100 public healthcare professionals via Health Empowerment through Advanced Learning & Intelligent eXchange (Healix) Data and AI Academy.
The partnerships will also include experimentation and adoption of AI use cases and co-developing predictive care use cases. Databrick's AI capabilities will also be integrated into Healix's platform.
Cecily Ng, vice-president and general manager for Asean and greater China, Databricks, said: 'This partnership comes at a pivotal time as Singapore faces increasing pressure on its public healthcare system and an unprecedented surge in data complexity.'
Another MOU was also inked with Google Cloud to enhance Synapxe's AI platforms Healix and Tandem. This partnership will train and certify at least 300 healthcare professionals in Google Cloud's AI technologies.
Biannual workshops on GenAI and data analytics will also be organised as part of the partnership.
Synapxe has also signed a MOU with Aidx Tech to identify AI risks and ensure compliance with healthcare standards. Aidx's platform will be used to test AI models, with the healthtech agency aiming to establish an AI safety and compliance joint testing lab with Aidx. There is no timeline for when the centre will be set up.
Aidx's AI testing tools will be customised for Synapxe's operational needs and both will collaborate on aligning with frameworks such as ISO 42001 and the EU AI Act.
Ngiam Siew Ying, chief executive officer of Synapxe said: 'AI holds immense promise for transforming healthcare through innovation. By harnessing its capabilities, we are developing solutions that enhance predictive and personalised care and improve health outcomes for everyone.'
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


CNA
3 hours ago
- CNA
Intel appoints engineering hires as part of CEO Tan's turnaround strategy
Intel hired three chip industry executives in engineering and networking roles on Wednesday, as part of CEO Lip-Bu Tan's plans to overhaul top management and turn around the embattled chipmaker. Tan's plans include trimming the company's large workforce, hiring new leadership, focusing on customer satisfaction and ensuring the foundry business succeeds. Tan started to flatten Intel's leadership team since taking over as top boss in March with many important chip groups reporting directly into him, including sales veteran Greg Ernst, who was appointed chief revenue officer. Ernst previously served as Intel's head of U.S. sales and marketing operations. In keeping with its plans to become more engineering-focused, the company also tapped Srinivasan Iyengar, Jean-Didier Allegrucci and Shailendra Desai to lead engineering roles. "Greg, Srini, J-D and Shailendra are highly accomplished leaders with strong reputations across our ecosystem and they will each play important roles as we position our business for the future," Tan said. Iyengar joined Intel from Cadence Design Systems and will lead a new customer engineering center, while Allegrucci, a former Rain AI executive, will manage the development of the AI System on Chip engineering. Desai, who joined Intel from Google, will head the development of new AI chip architectures. Iyengar will report into Tan, while Allegrucci and Desai will report into Sachin Katti, Intel's chief technology and AI officer. Intel has also reshuffled its board to make it more chip-industry-focused. Three board members did not stand for reelection at its 2025 annual meeting.


CNA
4 hours ago
- CNA
Nvidia-backed AI startup SandboxAQ creates new data to speed up drug discovery
SAN FRANCISCO :SandboxAQ, an artificial intelligence startup spun out of Alphabet's Google and backed by Nvidia, on Wednesday released a trove of data it hopes will speed up the discovery of new medical treatments by helping scientists understand how drugs stick to proteins. The goal is to help scientists predict whether a drug will bind to its target in the human body. But while the data is backed up by real-world scientific experiments, it did not come from a lab. Instead, SandboxAQ, which has raised nearly $1 billion in venture capital, generated the data using Nvidia's chips and will feed it back into AI models that it hopes scientists can use to rapidly predict whether a small-molecule pharmaceutical will bind to the protein that researchers are targeting, a key question that must be answered before a drug candidate can move forward. For example, if a drug is meant to inhibit a biological process like the progression of a disease, scientists can use the tool to predict whether the drug molecule is likely to bind to the proteins involved in that process. The approach is an emerging field that combines traditional scientific computing techniques with advancements in AI. In many fields, scientists have long had equations that can precisely predict how atoms combine into molecules. But even for relatively small three-dimensional pharmaceutical molecules, the potential combinations become far too vast to calculate manually, even with today's fastest computers. So SandboxAQ's approach was to use existing experimental data to calculate about 5.2 million new, "synthetic" three-dimensional molecules - molecules that haven't been observed in the real world, but were calculated with equations based on real-world data. That synthetic data, which SandboxAQ is releasing publicly, can be used to train AI models that can predict whether a new drug molecule is likely to stick to the protein researchers are targeting in a fraction of the time it would take to calculate it manually, while retaining accuracy. SandboxAQ will charge money for its own AI models developed with the data, which it hopes will get results that rival running lab experiments, but virtually. "This is a long-standing problem in biology that we've all, as an industry, been trying to solve for," Nadia Harhen, general manager of AI simulation at SandboxAQ, told Reuters on Tuesday. "All of these computationally generated structures are tagged to a ground-truth experimental data, and so when you pick this data set and you train models, you can actually use the synthetic data in a way that's never been done before."


International Business Times
6 hours ago
- International Business Times
Today's AI Updates: OpenAI Brings Image Creation to WhatsApp As Microsoft Rolls Out Smart AI Agent for Windows PCs
As the race to lead the artificial intelligence boom intensifies, top technology firms are leaving no stone unturned in their efforts to outpace competitors by offering innovative features and services. In the latest wave of AI developments, OpenAI, Meta, and Microsoft have introduced distinctive new features for their users. Starting with OpenAI, the Sam Altman-led firm has officially launched its image-generation tool on WhatsApp today, allowing users to create pictures within the messaging app using text-based instructions Using OpenAI's DALL·E model, the feature allows users to message 'Hi' to the official number +1-800-242-8478, register using their official mobile number, and generate AI images in real-time by following simple steps and prompts. This eliminates the need to manually switch to ChatGPT and creates a more seamless experience within WhatsApp. Another tech leader, Meta, is also offering a similar feature. Meta's own AI assistant, powered by Llama 4, is providing image generation and conversational skills within WhatsApp. Meta's AI can be used to suggest writing prompts, edit images and videos, and compose responses to user queries. Meanwhile, Microsoft is adding a new AI settings agent to Windows 11 as part of its Copilot platform, starting with Copilot+ PCs with Snapdragon X processors. The tool is a departure from traditional methods for interacting with desktop settings (obtained through laborious multi-level menus), in that users communicate with it using succinct, natural commands. The AI agent allows users to complete actions like adjusting brightness, altering contrast, or connecting to Wi-Fi by typing or speaking conversational commands, such as "turn on dark mode" or "make text easier to read." In contrast with old digital assistants, the new AI agent has the ability to not just interpret user commands but also execute real-time actions (with user confirmation), regardless of how they are expressed. Microsoft stated that these interactions are performed locally on the device for better privacy and also faster response of the bot. The agent's screen awareness enables it to know what the user is working on and offer contextual help. If someone is editing a photo, for example, it could suggest improvements. When viewing a PDF, it can summarize the content of that document. Microsoft says this approach is aimed at doing away with artificial frictions and making Windows feel like a more responsive, intelligent environment. While only available on Copilot+ PCs for now, Microsoft intends to bring it to all Intel and AMD systems later this year when it releases the Windows 11 24H2 update. The company also mentioned early on that it would eventually allow third-party developers to build their own AI agents using its Model Context Protocol, which could make it possible to coordinate across apps and integrate more artificial intelligence throughout Windows.