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Correspondent

23 August 2024 at 4:29:04 pm

Manufactured Martyrs

The attempt by the Cockroach Janata Party (CJP) to turn activist Sonam Wangchuk into the next Anna Hazare has exposed how manufactured symbolism cannot compensate for the absence of genuine public outrage. What began as a grievance over the NEET paper leak, one of India’s gravest examination scandals in recent times, has drifted into an exercise in political pageantry, where the cause has been eclipsed by its chosen mascots. Wangchuk’s indefinite hunger strike was plainly meant to recreate a...

Manufactured Martyrs

The attempt by the Cockroach Janata Party (CJP) to turn activist Sonam Wangchuk into the next Anna Hazare has exposed how manufactured symbolism cannot compensate for the absence of genuine public outrage. What began as a grievance over the NEET paper leak, one of India’s gravest examination scandals in recent times, has drifted into an exercise in political pageantry, where the cause has been eclipsed by its chosen mascots. Wangchuk’s indefinite hunger strike was plainly meant to recreate a familiar script where an allegedly unassuming public figure embraces personal sacrifice and a reluctant government buckles under mounting moral pressure. But history does not repeat itself on command. Anna Hazare’s fast in 2011 succeeded not because fasting possesses mystical political powers, but because it rode a tidal wave of public anger against corruption. Millions identified with the cause. That equation is conspicuously absent today. The platform that ought to have belonged to students who suffered from the NEET paper leak, or to parents whose children bore its consequences, instead became crowded with the usual constellation of professional activists, ideological campaigners and political fellow travellers. The faces dominating the stage were not those most directly affected by the scandal. A movement demanding educational accountability gradually came to look like another gathering of Delhi’s permanently aggrieved activist class. Even Wangchuk appeared to sense the contradiction. During the protest he reportedly lamented that while he was observing an indefinite fast, many around him were happily eating meals, urging at least a token one-day fast in solidarity. Successful protest movements depend upon authenticity. Once the public begins suspecting that an individual is being deployed less as a leader than as a moral accessory for someone else’s ideological project, sympathy quickly evaporates. Nor does Wangchuk arrive without controversy. Questions have been raised over the cancellation of the FCRA licence of SECMOL, the educational organisation associated with him, and over allegations regarding subsequent foreign funding arrangements. Critics have also challenged aspects of the carefully cultivated public mythology surrounding his achievements, from the origins of the ice-stupa concept to the popular belief that he inspired the protagonist of 3 Idiots. These matters deserve scrutiny on their own merits rather than hagiography or character assassination. The greater failure here surely belongs to the protest’s organisers. The CJP has mistaken optics for momentum and symbolism for public sentiment. Instead of allowing the victims of the NEET scandal to speak for themselves, they attempted to manufacture another national conscience by placing a familiar face at the centre of the stage. Political legitimacy cannot be outsourced to celebrity. Nor can mass movements be assembled from social-media influencers and habitual protesters. Anna Hazare became powerful because the public chose him. Attempts to manufacture his successor merely underline how rare such moments really are.

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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