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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

MVA accuses Mahayuti of ‘banditry, betrayal’

Mumbai: The simmering political storm over the Mahayuti government’s ‘Mukhyamantri Majhi Ladi Bahin Yojana’ intensified with the Maharashtra Vikas Aghadi (MVA) taking the recent CAG Report’s cautionary signals on state finances, to question if the state regime is a ‘gang of bandits’. State Congress President Harshwardhan Sapkal, Nationalist Congress Party (SP) National Spokesperson Clyde Crasto and Shiv Sena (UBT) MP Sanjay Raut attacking the government over the CAG revelations pointing to Rs...

MVA accuses Mahayuti of ‘banditry, betrayal’

Mumbai: The simmering political storm over the Mahayuti government’s ‘Mukhyamantri Majhi Ladi Bahin Yojana’ intensified with the Maharashtra Vikas Aghadi (MVA) taking the recent CAG Report’s cautionary signals on state finances, to question if the state regime is a ‘gang of bandits’. State Congress President Harshwardhan Sapkal, Nationalist Congress Party (SP) National Spokesperson Clyde Crasto and Shiv Sena (UBT) MP Sanjay Raut attacking the government over the CAG revelations pointing to Rs 3,541-cr excess spending plus significant shortcomings in financial management, budget estimation and expenditure control. Sapkal slammed the Mahayuti for allegedly committing a financial fraud of Rs 3,500-cr, while Crasto termed the removal of 92-lakh women beneficiaries as ‘betrayal’ and Raut accusing that the scheme was launched only to collect the votes of ‘Ladki Bahin’ in the 2024 Assembly elections. The Congress chief reiterated that a potential welfare scheme degenerated into another vehicle for corruption as the “step-brothers in power have looted their own beloved sisters”. “After looting every sector of the government, they have plundered the ‘Ladmi Bahin’ scheme… Is this a government or a gang of bandits,” demanded Sapkal sharply. Various Reasons Terming the government’s move to delete 38 pc (92 lakh) ‘Ladki Bahins’ from the scheme for various reasons as ‘fooling’ the women of Maharashtra to grab their votes. “They are citing different excuses for this act… Then how were they eligible before the elections, they took the votes, gave them money for so long, and now they are betraying them,” said an irked Crasto. Sapkal pointed out how, as per the CAG Report, an amount of Rs. 29,693-cr was budgeted for the scheme, but the government spent over Rs 3,500-cr beyond the sanctioned amount without maintaining proper records or accounts, and unsolicited withdrawals. Schemes Sacrificed “Spending on housing had fallen by 54 pc, and expenditure on water supply-sanitation slashed by nearly 32 pc. The CAG had cautioned against prioritizing the ‘Ladki Bahin’ scheme at the cost of other critical infrastructure projects that could hit long-term sustainability of public services,” Sapkal pointed out. He further stated that an amount of Rs 3,490-cro intended for the ‘Lek Ladki’ scheme (beloved daughters, launched in Oct. 2023) from economically backward families was allegedly diverted to ‘Ladki Bahin’, and earlier funds from the Social Justice Department were also rerouted. Raut and other SS (UBT) leaders raised questions on the government’s financial management as the CAG’s findings vindicate their stance over how the ‘Ladki Bahin’ scheme was launched hastily for reaping a rich electoral harvest in November 2024. Several NCP (SP) leaders demanded a detailed explanation for the excess expenditure red-flagged by the CAG, deflecting funds from other projects to ‘Ladki Bahin’ and pinning accountability for all such irregularities. The MVA allies urged the Mahayuti to present a comprehensive report on the scheme and fixing accountability in the legislature while ensuring that genuine beneficiaries are not deprived of the assistance. Major lapses in fiscal discipline Among other things, the Comptroller and Auditor General (CAG) Report of 2024-2025, pinpointed an excess spend of Rs. 3,541-cr, plus major lapses in fiscal discipline over the flagship ‘Ladki Bahin’ scheme. It said that the Women and Child Development Department spent Rs. 33,237 cr against the sanctioned Rs. 29,693-cr – or, Rs. 3,541-cr extra – without providing a proper explanation for the overspend. Announced with great fanfare barely months ahead of the 2024 Assembly polls, the ‘Ladki Bahin’ scheme promised a monthly dole of Rs 1,500 - with a promise to hike it to Rs 2,100 per month – to eligible women, if the Mahayuti was returned to power. It emerged the Mahayuti’s winning initiative, helped strengthen its support among the women, especially rural voters and enabled the coalition romp home – barely six months after it was badly mauled in the Parliament elections of 2024.

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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