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Correspondent

23 August 2024 at 4:29:04 pm

Britannia Adrift

After years of Conservative infighting, Brexit-induced turmoil and the brief farce of Liz Truss’s premiership, Labour’s landslide victory under Keir Starmer appeared to herald a return to calm government in Britain. Now, less than two years later, Starmer has resigned, becoming the sixth British prime minister in a decade to leave office before completing a full term. The immediate trigger is the return of Andy Burnham to Westminster. His emphatic victory in the Makerfield by-election...

Britannia Adrift

After years of Conservative infighting, Brexit-induced turmoil and the brief farce of Liz Truss’s premiership, Labour’s landslide victory under Keir Starmer appeared to herald a return to calm government in Britain. Now, less than two years later, Starmer has resigned, becoming the sixth British prime minister in a decade to leave office before completing a full term. The immediate trigger is the return of Andy Burnham to Westminster. His emphatic victory in the Makerfield by-election electrified sections of the Labour Party, many of whom view the former Greater Manchester mayor as a more compelling and politically resilient figure than Starmer. Labour’s disappointing performance in local elections had only sharpened those doubts. But Britain faces a larger question. Why has the office of prime minister become so precarious? Starmer’s departure is further evidence that Britain has entered an age of political restlessness in which governments struggle to survive long enough to solve the problems they inherit. For much of the post-war era Britain was governed by two broad churches. While Labour and the Conservatives alternated in power, both accepted the legitimacy of the political system and possessed enough internal discipline to absorb dissent. Governments rose and fell at elections, not through a perpetual leadership crisis. That consensus has steadily frayed. The financial crisis of 2008 shattered faith in economic management. Brexit fractured both major parties and exposed profound divisions within British society. The years since have produced a succession of leaders who promised national renewal but found themselves overwhelmed by structural realities. David Cameron gambled on a referendum and lost. Theresa May tried to reconcile irreconcilable factions and failed. Boris Johnson mastered electoral politics but struggled with government. Liz Truss discovered that markets could be more ruthless than party rivals. Rishi Sunak inherited a depleted administration. Now Starmer joins the procession. The striking feature is that Britain’s instability has survived changes of both party and ideology. The Conservatives were punished for appearing incompetent. Labour is now being punished for appearing ineffective. Part of the problem lies in a political culture increasingly addicted to instant gratification. Governments are expected to deliver quick solutions to problems decades in the making. Starmer won office promising pragmatism and competence. Yet once in government, Labour often appeared less interested in confronting difficult truths than in managing headlines. Faced with pressure from different constituencies, it oscillated between technocratic caution and populist gestures. The result satisfied nobody. Voters seeking change found incrementalism. Voters seeking stability encountered drift. Meanwhile, Britain’s political landscape has fragmented. The Greens have chipped away at Labour’s progressive flank. Nigel Farage’s Reform UK has transformed itself into a potent force among disillusioned voters. The old two-party duopoly looks increasingly fragile. Electoral volatility has become the norm rather than the exception. The real challenge now is not who governs Britain. It is whether anyone can govern it effectively anymore.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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