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By:

Abhijit Mulye

21 August 2024 at 4:59:11 pm

MLC polls expose cracks in Mahayuti, MVA

AI Generated Image Mumbai: The upcoming Maharashtra Legislative Council (MLC) elections for the graduate and teacher constituencies have laid bare the deep-seated fissures within both the ruling Mahayuti and the opposition Maha Vikas Aghadi (MVA) alliances. In a significant development that could have far-reaching political implications, multiple rebel candidates, including prominent figures with strong party affiliations, have defied alliance dictates to file their nominations as...

MLC polls expose cracks in Mahayuti, MVA

AI Generated Image Mumbai: The upcoming Maharashtra Legislative Council (MLC) elections for the graduate and teacher constituencies have laid bare the deep-seated fissures within both the ruling Mahayuti and the opposition Maha Vikas Aghadi (MVA) alliances. In a significant development that could have far-reaching political implications, multiple rebel candidates, including prominent figures with strong party affiliations, have defied alliance dictates to file their nominations as independents, setting the stage for high-stakes, multi-cornered contests. Mahayuti Turmoil The Mahayuti alliance, comprising the Bharatiya Janata Party (BJP), the Eknath Shinde-led Shiv Sena, and the Ajit Pawar-led Nationalist Congress Party (NCP), is grappling with rebellion on multiple fronts. In the critical Nagpur Graduates constituency, a traditional BJP stronghold, former BJP MLC and Nagpur Mayor Anil Sole has thrown a spanner in the works by filing his nomination as an independent candidate. This move directly challenges the official BJP candidate, Sudhakar Kohale. While the BJP leadership, including state president Ravindra Chavan, has attempted to downplay the situation, asserting that Sole has been "pacified," the former MLC's actions tell a different story. Sole's decision to contest independently is particularly significant given his long-standing association with the Rashtriya Swayamsevak Sangh (RSS) and his previous stint as a BJP MLC from the very same constituency. The situation is equally complicated in the Amravati Teachers constituency. The Shiv Sena (Shinde faction) has officially fielded Kiran Sarnaik. However, adding to the confusion, Sangita Shinde, sister of BJP MP Anil Bonde, has also entered the fray, potentially splitting the Mahayuti vote. The opposition MVA is also facing its share of internal discord here. While the Congress has nominated Aditi Pohre, daughter of former minister Harshvardhan Deshmukh, the Shiv Sena (UBT) has fielded Dattatray Lahane. The presence of numerous candidates representing various teachers' organizations further complicates the electoral arithmetic in this constituency. Opposition Rebellion The Chhatrapati Sambhaji Nagar Graduates constituency has witnessed another surprise development. While the NCP's sitting MLC, Satish Chavan, was widely considered the frontrunner, the BJP's M.K. Deshmukh has unexpectedly filed his nomination as a rebel candidate, catching the Mahayuti leadership completely off guard. The MVA, too, is facing rebellion in this constituency. Although the seat was officially allocated to the NCP (Sharad Pawar faction), Shiv Sena (UBT)'s Dilip Ghuge has also filed his nomination, causing significant heartburn within the opposition alliance. The Pune constituencies present a microcosm of the larger alliance troubles. In the Pune Graduates constituency, the BJP has fielded Dr. Smita Jadhav, the daughter-in-law of Pratap Singh Jadhav, owner of the 'Pudhari' news group and niece of Congress leader Satej Patil. Adding intrigue to this contest is the fact that she is contesting against Harshada Deshmukh-Jadhav, the official candidate of the NCP (Sharad Pawar faction). However, the real drama is unfolding in the Pune Teachers constituency. The BJP's official candidate, Koustubh Gawde, is facing a formidable challenge from Mangesh Chiwate, a close confidant of Chief Minister Eknath Shinde. Chiwate, a former journalist who handled the CM's medical aid cell while Shinde was the CM, has claimed that his party leadership has provided him with the crucial 'AB' form, signaling official backing. Commenting on the chaotic situation, Chief Minister Devendra Fadnavis acknowledged that seat-sharing talks remained inconclusive in some areas but expressed hope that the alliance partners would eventually reach an agreement. The true picture of the electoral battlefield will only emerge after Friday, October 9th, the last date for the withdrawal of nominations. Until then, both alliances will be working overtime to contain the rebellions and present a united front, but the deep cracks exposed by these developments suggest that the upcoming MLC elections will be fiercely contested and highly unpredictable.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

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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