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By:

Abhijit Mulye

21 August 2024 at 11:29:11 am

The Unequal Cousins

Raj Thackeray’s ‘sacrifice’ saved Shiv Sena (UBT) but sank the MNS Mumbai: In the volatile theatre of Maharashtra politics, the long-awaited reunion of the Thackeray cousins on the campaign trail was supposed to be the masterstroke that reclaimed Mumbai. The results of the Brihanmumbai Municipal Corporation (BMC) elections, however, tell a story of tragic asymmetry. While the alliance has successfully helped the Shiv Sena (UBT) stem the saffron tide and regain lost ground, it has left Raj...

The Unequal Cousins

Raj Thackeray’s ‘sacrifice’ saved Shiv Sena (UBT) but sank the MNS Mumbai: In the volatile theatre of Maharashtra politics, the long-awaited reunion of the Thackeray cousins on the campaign trail was supposed to be the masterstroke that reclaimed Mumbai. The results of the Brihanmumbai Municipal Corporation (BMC) elections, however, tell a story of tragic asymmetry. While the alliance has successfully helped the Shiv Sena (UBT) stem the saffron tide and regain lost ground, it has left Raj Thackeray’s Maharashtra Navnirman Sena (MNS) staring at an existential crisis. The final tally reveals a brutal reality for the MNS - Raj Thackeray played the role of the savior for his cousin, but in the process, he may have become the sole loser of the 2026 mandate. The worse part is that the Shiv Sena (UBT) is reluctant to accept this and is blaming Raj for the poor performance of his party leading to the defeat. A granular analysis of the ward-wise voting patterns exposes the fundamental flaw in this tactical alliance. The vote transfer, the holy grail of any coalition, operated strictly on a one-way street. Data suggests that the traditional MNS voter—often young, aggressive, and driven by regional pride—heeded Raj Thackeray’s call and transferred their votes to Shiv Sena (UBT) candidates in wards where the MNS did not contest. This consolidation was critical in helping the UBT hold its fortresses against the BJP's "Infra Man" juggernaut. However, the favor was not returned. In seats allocated to the MNS, the traditional Shiv Sena (UBT) voter appeared hesitant to back the "Engine" (MNS symbol). Whether due to lingering historical bitterness or a lack of instructions from the local UBT leadership, the "Torch" (UBT symbol) voters did not gravitate toward Raj’s candidates. The result? The UBT survived, while the MNS candidates were left stranded. ‘Second Fiddle’ Perhaps the most poignant aspect of this election was the shift in the personal dynamic between the Thackeray brothers. Decades ago, they parted ways over a bitter dispute regarding who would control the party helm. Raj, refusing to work under Uddhav, formed the MNS to chart his own path. Yet, in 2026, the wheel seems to have come full circle. By agreeing to contest a considerably lower number of seats and focusing his energy on the broader alliance narrative, Raj Thackeray tacitly accepted the role of "second fiddle." It was a pragmatic gamble to save the "Thackeray" brand from total erasure by the BJP-Shinde combine. While the brand survived, it is Uddhav who holds the equity, while Raj has been left with the debt. Charisma as a Charity Throughout the campaign, Raj Thackeray’s rallies were, as always, electric. His fiery oratory and charismatic presence drew massive crowds, a sharp contrast to the more somber tone of the UBT leadership. Ironically, this charisma served as a force multiplier not for his own party, but for his cousin’s. Raj acted as the star campaigner who energised the anti-BJP vote bank. He successfully articulated the anger against the "Delhi-centric" politics he accuses the BJP of fostering. But when the dust settled, the seats were won by UBT candidates who rode the wave Raj helped create. The MNS chief provided the wind for the sails, but the ship that docked in the BMC was captained by Uddhav. ‘Marathi Asmita’ Stung by the results and the realisation of the unequal exchange, Raj Thackeray took to social media shortly after the counting concluded. In an emotive post, he avoided blaming the alliance partner but instead pivoted back to his ideological roots. Urging his followers to "stick to the issue of Marathi Manoos and Marathi Asmita (pride)," Raj signaled a retreat to the core identity politics that birthed the MNS. It was a somber appeal, stripped of the bravado of the campaign, hinting at a leader who knows he must now rebuild from the rubble. The 2026 BMC election will be remembered as the moment Raj Thackeray proved he could be a kingmaker, even if it meant crowning the rival he once despised. He provided the timely help that allowed the Shiv Sena (UBT) to live to fight another day. But in the ruthless arithmetic of democracy, where moral victories count for little, the MNS stands isolated—a party that gave everything to the alliance and received nothing in return. Ironically, there are people within the UBT who still don’t want to accept this and on the contrary blame Raj Thackeray for dismal performance of the MNS, which they argue, derailed the UBT arithmetic. They state that had the MNS performed any better, the results would have been much better for the UBT.

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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