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Correspondent

21 August 2024 at 10:20:16 am

Phantom Promises

The unravelling of the Mukhyamantri Majhi Ladki Bahin Yojana was always a matter of when, not if. Announced with theatrical flourish ahead of the 2024 Assembly election by the ruling Mahayuti coalition, the scheme promised Rs. 1,500 a month to women across the state. It became the Mahayuti government’s showpiece welfare programme and, by all accounts, a decisive political instrument that helped propel the ruling alliance to a comfortable victory. Less than two years later, the curtain has now...

Phantom Promises

The unravelling of the Mukhyamantri Majhi Ladki Bahin Yojana was always a matter of when, not if. Announced with theatrical flourish ahead of the 2024 Assembly election by the ruling Mahayuti coalition, the scheme promised Rs. 1,500 a month to women across the state. It became the Mahayuti government’s showpiece welfare programme and, by all accounts, a decisive political instrument that helped propel the ruling alliance to a comfortable victory. Less than two years later, the curtain has now fallen. Nearly 92 lakh beneficiaries – a whopping 38 percent of those initially enrolled – are now being shown the door as the scheme becomes economically untenable. If such a staggering proportion of beneficiaries never qualified in the first place, what exactly was the government doing when it rolled out the scheme with such urgency? The scheme is a classic case of welfare as a cold election strategy rather than a governance policy. The scheme’s benefits flowed generously just before the election. The scrutiny that has now arrived has exposed it for what it was: a fiscal white elephant. The Comptroller and Auditor General has now compounded the Mahayuti’s embarrassment with its report, which questions expenditure of more than Rs. 3,541 crore under the scheme. Such spending places an unsustainable burden on Maharashtra’s finances. The CAG’s report is an indictment of a style of governance that treats the public exchequer as an extension of the campaign war chest. Across India, governments of every political persuasion have perfected the art of competitive populism. Cash transfers, freebies and subsidies are unveiled with increasing frequency, often without credible fiscal planning or robust verification mechanisms. Welfare has become less about empowering citizens than about cultivating dependable vote banks. Schemes designed primarily for electoral dividends inevitably collapse under their own contradictions, leaving beneficiaries disillusioned and public finances weakened. The greatest injustice is borne not by politicians but by ordinary citizens. Honest taxpayers finance these extravagant promises. Genuine beneficiaries build their household budgets around them. When governments later discover that millions were ‘ineligible,’ it is ordinary families, and not the politicians or their families, who suffer the consequences. If money has indeed been squandered because of political haste, accountability cannot stop with bureaucrats or clerks processing applications. Those who conceived, announced and relentlessly campaigned on the scheme must also bear responsibility. The leaders of the three ruling Mahayuti partners – the BJP, the NCP and the Shiv Sena - who converted public money into political capital should be prepared to answer financially as well as politically. Democracy cannot become an auction where elections are won with taxpayers’ wallets. It is time to end the politics of fiscal bribery masquerading as welfare. Maharashtra deserves governments that create opportunity, not dependency, and policies that survive beyond polling day.

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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