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By:

Abhijit Mulye

21 August 2024 at 11:29:11 am

Unshackled yet Vulnerable

Eknath Shinde’s high stakes pivot in the post-Ajit era Mumbai: The swearing-in of Sunetra Pawar as Deputy Chief Minister has optically restored the Mahayuti’s "tripod" structure, but for Eknath Shinde and his Shiv Sena faction, the ground reality has shifted seismically. The sudden exit of Ajit Pawar—often seen as the "counterweight" in the alliance—has fundamentally rewritten Shinde’s survival equation. For the last two years, Shinde operated in a high-pressure "sandwich" between Devendra...

Unshackled yet Vulnerable

Eknath Shinde’s high stakes pivot in the post-Ajit era Mumbai: The swearing-in of Sunetra Pawar as Deputy Chief Minister has optically restored the Mahayuti’s "tripod" structure, but for Eknath Shinde and his Shiv Sena faction, the ground reality has shifted seismically. The sudden exit of Ajit Pawar—often seen as the "counterweight" in the alliance—has fundamentally rewritten Shinde’s survival equation. For the last two years, Shinde operated in a high-pressure "sandwich" between Devendra Fadnavis’s strategic command and Ajit Pawar’s administrative dominance. With the latter gone, Shinde is no longer just the "other" Deputy CM; he is now the operational anchor of the government, a shift that brings both immense opportunity and existential risk. Sunetra Pawar’s sudden elevation as Maharashtra’s Deputy Chief Minister after Ajit Pawar’s tragic death has also unsettled other Shiv Sena leaders, who publicly welcomed the move but privately expressed surprise and concern. The development reshapes the Mahayuti alliance, with Eknath Shinde caught between asserting his mass appeal and managing BJP’s growing dominance. Third Wheel Until last week, Eknath Shinde often found his administrative influence curtailed by Ajit Pawar’s aggressive style. Ajit "Dada" controlled the bureaucracy and the purse strings, often leaving Shinde’s MLAs complaining about stalled files and delayed funds. How the new reality would unfold is not yet clear. With Sunetra Pawar being a political novice inducted primarily for "sympathy" and "legacy" management, Shinde is now the sole experienced administrator alongside Fadnavis. The "administrative friction" that plagued Shinde’s faction is gone. In cabinet meetings and operational governance, Shinde’s voice will likely carry significantly more weight, as he is no longer competing for airtime with a heavyweight like Ajit Pawar. Finance Dilemma The decision by Chief Minister Fadnavis to retain the Finance and Planning portfolio—rather than handing it to Sunetra Pawar—is the single most critical development for the Shiv Sena. The good news is that Shinde’s MLAs will no longer have to beg an NCP Finance Minister for development funds—a major grievance that had threatened internal revolts in the Sena camp. However, it can also turn out to be the bad news, since financial power will be completely centralized within the BJP now. Previously, Shinde could subtly play the BJP and NCP against each other to extract resources. Now, he faces a monolithic BJP command center. If Fadnavis tightens the purse strings, Shinde has no "second door" to knock on. The BMC Bargaining Chip The immediate effects of Shinde’s new fears were seen in Brihanmumbai Municipal Corporation (BMC) and other Municipal Corporations in the MMR, where insteady of bargaining for a larger share of power, the Shiv Sena under Shinde appeared to be content with whatever it got from the BJP and quietly accepting it. This was very unlikely of their track record till now and contrary to the party insiders who were very aggressive till last week sending out signals that Shinde would bargain strongly for the demands like Mayoral post in Mumbai to assert the ‘rights of Marathi Manoos’.

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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