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By:

Abhijit Mulye

21 August 2024 at 11:29:11 am

BJP’s zilla parishad surge leaves Shinde Sena sidelined

Mumbai: The political friction within Maharashtra’s ruling alliance has moved from hushed corridors to a public power struggle following Deputy Chief Minister Eknath Shinde’s recent high-profile dash to the national capital. While Shinde spent his Delhi visit in closed-door deliberations with Prime Minister Narendra Modi and Union Home Minister Amit Shah—purportedly to protest being marginalised in regional power-sharing—the state BJP responded on Wednesday with a series of aggressive...

BJP’s zilla parishad surge leaves Shinde Sena sidelined

Mumbai: The political friction within Maharashtra’s ruling alliance has moved from hushed corridors to a public power struggle following Deputy Chief Minister Eknath Shinde’s recent high-profile dash to the national capital. While Shinde spent his Delhi visit in closed-door deliberations with Prime Minister Narendra Modi and Union Home Minister Amit Shah—purportedly to protest being marginalised in regional power-sharing—the state BJP responded on Wednesday with a series of aggressive manoeuvres. Instead of a reconciliation, Shinde got a reality check in which his Shiv Sena was systematically outmanoeuvred and isolated across key zilla parishads (ZPs) in Chhatrapati Sambhajinagar, Parbhani, and Sangli. This latest sequence of events underscores a rapidly changing dynamic in Maharashtra politics. Ever since Devendra Fadnavis assumed the Chief Minister’s office in December 2024, the BJP has adopted an increasingly assertive posture. Shinde and his camp are visibly struggling to counter this dominance. The political manoeuvring in Parbhani perfectly illustrates the BJP’s new strategy. The BJP emerged as the single largest party with 24 seats. The Nationalist Congress Party (NCP) secured 15 seats, followed by the Shiv Sena with five. The opposition consisted of Shiv Sena (UBT) (six seats), Congress (three seats), and one independent candidate. Guardian Minister Meghana Borikar had initially indicated a plan to seize power alongside Shinde’s Shiv Sena while keeping the NCP out. Silent Moves However, the Congress silently attempted to engineer a broad anti-BJP coalition, trying to unite the NCP, both Sena factions, and the independent member. Sensing the threat, the BJP went into a huddle with NCP leadership for a counter-strategy. Clear directives were sent to the district level. The BJP abruptly formed an alliance with the NCP. Consequently, the Shiv Sena, which had been aggressively eyeing the ZP chairperson’s post, was unceremoniously shown the door. Tight Race A similar drama unfolded in Sambhajinagar. The alliance broke down at the very last moment. Local leaders failed to reach a consensus about the chairperson post. Numbers were extremely tight. The BJP held 23 members, while the Shiv Sena commanded 22. When state-level power-sharing formulas were rejected locally, the BJP took drastic action. Leveraging assistance from the NCP, the BJP successfully engineered a split within the opposition alliance. It managed to win over the crucial votes of three UBT members and one NCP-Sharad Pawar member. On Wednesday, both the BJP and the Shiv Sena filed rival nominations for the top post. Ultimately, the BJP’s tactical cross-voting strategy prevailed. The party walked away with both the chairperson and deputy chairperson positions, leaving the Sena empty-handed. The situation in Sangli further damaged the fragile relationship between the two ruling partners. In Sangli, the NCP-SP successfully bagged the chairperson post. The Shiv Sena accused the BJP of sabotage. It was claimed that the BJP deliberately refused to back the Sena candidate and decided to field its own candidate at the eleventh hour. The last-minute entry split the votes of the ruling alliance and turned the regional equations decisively in favour of the NCP-SP.

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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