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The Promise and Risks of Polygenic Tests: What You Need to Know

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Scientists have developed polygenic tests that claim to detect diseases decades before they develop. These tests promise to revolutionize medicine by enabling individuals to take preventative measures, reducing their risk of conditions such as heart attacks, diabetes, and cancer. The University of Oxford recently launched a large pilot scheme in collaboration with the UK’s National Health Service (NHS).

Polygenic tests sequence multiple parts of someone’s DNA rather than just examining single genes like previous predictive technologies. This new approach is expected to revolutionize preventive medicine by predicting far more common conditions caused by multiple genes.

Despite the potential advantages of these tests, some institutions argue that rolling out these tests without proper consideration could result in adverse events for recipients and healthcare systems worldwide. Amit Sud at The Institute of Cancer Research cautions that while there are benefits attached to these predictions, there are undoubtedly risks too.

The changing medical landscape suggests there may be an opportunity for genetics to transform medicine fundamentally. However, before embracing this technology at scale, it is essential to weigh up the costs and benefits resulting from its adoption.

To date, several polygenic risk tests market their services publicly; therefore, verifying the costs and implications will aid decision-makers looking forward.

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Innovation

New electric current treatment offers hope for prostate cancer patients

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Prostate cancer could be treated with a revolutionary one-hour procedure using electrical currents to destroy hard-to-reach tumours, according to leading surgeons. The new technique, called irreversible electroporation or Nanoknife, has recently been used for the first time in the NHS and provides hope for thousands of men who face surgery or radiotherapy with distressing side-effects.

The NHS has now carried out six operations using the procedure, which is minimally invasive and precise. Surgeons are optimistic about its potential as a standard treatment for certain types of prostate cancer. Unlike traditional treatments that can cause urinary problems or loss of sexual function, the Nanoknife method can be carried out quickly and result in fewer side effects by administering short electrical pulses into tumours, significantly reducing risks to healthy tissues surrounding it.

Charities have praised this “amazingly simple” treatment that could help up to 20,000 men diagnosed with localised disease each year. The Nanoknife technique is among other focused therapies – such as cryotherapy and focused ultrasound – available only at major specialist centres. The speed and efficiency of day cases procedures also makes them much more attractive within an already overwhelmed system.

The use of targeted electronic therapies opens new doors into the fight against one of the most common cancers among UK men. It is expected that similar techniques will be trialled soon so they can become more widely used across hospitals in England as part of efforts to tackle a huge cancer backlog made worse by Covid-19 related delays.

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The Importance of Standardizing AI Infrastructure for Successful Adoption

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Artificial Intelligence (AI) is transforming organizations, but to gain widespread adoption and spark innovation requires standardization, cost management, and governance. Unfortunately, many enterprises struggle with all three. The sprawl of diverse tools and technologies across organizations often results in inconsistent experiences between groups and scaling pilots into production can be difficult.

Managing AI costs remains a major challenge for many IT leaders as new projects can rapidly grow out of control. Selecting, building, and integrating robust infrastructure needed for AI can become a budget buster, especially in on-premises environments. As for governance, companies often silo their AI efforts or spread them out across teams without sufficient oversight from IT.

The Power of “AI-first” Infrastructure

A purpose-built, end-to-end optimized AI environment based in the cloud can address all three requirements effectively. Standardizing on clouds, tools and platforms such as NVIDIA AI Enterprise replaces an eclectic sprawl of diverse technologies across the organization with an optimized end-to-end environment that works together seamlessly – much like standardized virtualization or database solutions.

An enterprise’s workload determines the optimization of its infrastructure; smaller footprints lower costs dramatically while still accelerating processing of AI workloads by reducing training times through economies-of-scale purchasing and integration.

Simplifying Cost Control and Governance

The simplified management offered by standardized platforms also brings about culture changes centered around innovation within a company because it opens up access to more teams who can conceptualize their own ideas within a secure ecosystem. With full visibility into who is making purchases and what they are buying alongside crucial metrics including cost audits provided with each platform’s solution enables IT to retake overall spending accountability for auditability and regulatory compliance while safeguarding the confidentiality of business-critical data against bad actors.

Making AI Accessible Across The Organization

Dedicated standardized platforms help accelerate time-to-market by halting chaos-driven reinvention projects before they start because this unified approach empowers more people to use AI without starting from scratch every time they do so. It’s critical for businesses looking toward the future wave of technology need bet on an all-in-one platform that will deliver across the board if they want to stay ahead competitively among industry peers – so find out how dedicated infrastructure unlocks innovation at any level within your enterprise today!

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TypeScript 5.0 is here!

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Developers rejoice! Microsoft has released TypeScript 5.0, bringing with it numerous improvements and features to the popular programming language. TypeScript builds on JavaScript by adding syntax for types that can be used for type-checking, resulting in greater code accuracy and reliability.

This release includes new decorators standard implementation, improved functionality to better support ESM projects in Node and bundlers, better control of generic inference for library authors, expanded JSDoc functionality, simplified configuration and other significant changes to make TypeScript smaller and faster.

But don’t worry if you’re already familiar with TypeScript – the update will not require developers to relearn how to use it as nothing has been significantly changed or removed. While there are a few deprecations for less-used options in version 5.0, upgrading should be no different than previous updates. To get started using TypeScript 5.0, you can obtain it through NuGet or npm.

What’s new

The release marks a significant milestone as it brings many changes such as case-insensitive import sorting improvements in editor scenarios which now work better with existing tooling by default; specifies a minimum required version of Node.js (12.20) in its package.json; supports decorators placed before or after export and export default; permits bundler module resolution option when –module option is set to esnext; and more.

Decorators

TypeScript also introduces decorators – an upcoming ECMAScript feature allowing customization of classes and their members in a reusable way while keeping everything DRY (don’t repeat yourself). By defining functions like “loggedMethod”, we can apply them to existing methods like “greet” without modifying the actual greet method every time we want to add logging before or after the method executes making modularization easy than ever before.

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