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NanoKnife Destroys Prostate Cancer In Under An Hour
Surgeons praise the game-changing therapy as a breakthrough in tumor removal procedures.
A groundbreaking “NanoKnife” operation has been developed to help fight prostate cancer. Developed by AngioDynamics, the procedure uses electrical pulses guided by MRI scanning to eradicate hard-to-reach tumors, delicately opening cell membranes and reducing the risk of damage to surrounding tissues.
Traditional treatments for prostate cancer involve radiotherapy or removal surgery, often resulting in complications. The NanoKnife therapy offers greater efficiency and could soon be used as an alternative treatment option by the UK’s NHS.
The NanoKnife trials saw six successful operations performed by surgeons from University College London Hospital (UCLH), who praised the treatment’s simplicity and speed. It is now thought that in the future, overnight hospital stays could be eliminated, reducing strain on healthcare systems.
UCLH consultant urologist Mark Emberton said: “We are delighted to have been the first hospital in the NHS to use irreversible electroporation for patients with prostate cancer. And at times like this, when the NHS is under great pressure, day surgery avoids the need for overnight stays in hospital and means that we can use our operating theaters more efficiently”.
Meanwhile, Neil Gershon, one of the recipients of NanoKnife therapy, added, “It was completed in a day, which was fantastic. After the effects of the general anesthesia subsided, I felt perfectly fine, with no discomfort. It couldn’t have gone any smoother”.
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According to experts, early studies indicate that NanoKnife and similar focal therapies could revolutionize prostate cancer treatment by attacking tumors with unparalleled accuracy. However, the road to widespread adoption depends on the success of more extensive clinical trials.
For the 50,000+ men diagnosed with prostate cancer each year, this new procedure offers a beacon of hope, with swift, effective, and minimally invasive operations redefining the standard of cancer treatment and care.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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