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By:

Abhijit Mulye

21 August 2024 at 11:29:11 am

Congress ditched us first: Sunil Tatkare

Mumbai: In a significant escalation of the ongoing friction within Maharashtra’s political landscape, Nationalist Congress Party (NCP) state unit chief Sunil Tatkare has squarely blamed the Congress party for the disintegration of the Maharashtra Vikas Aghadi (MVA) alliance. In a candid interview with a Marathi television news channel, Tatkare asserted that the Congress was the first to "ditch" its partners, a move he claims fundamentally broke the trust required to sustain the coalition and...

Congress ditched us first: Sunil Tatkare

Mumbai: In a significant escalation of the ongoing friction within Maharashtra’s political landscape, Nationalist Congress Party (NCP) state unit chief Sunil Tatkare has squarely blamed the Congress party for the disintegration of the Maharashtra Vikas Aghadi (MVA) alliance. In a candid interview with a Marathi television news channel, Tatkare asserted that the Congress was the first to "ditch" its partners, a move he claims fundamentally broke the trust required to sustain the coalition and forced the NCP to reconsider its political future. Tatkare’s revelations come at a fragile moment for the NCP, which is still reeling from the sudden accidental death of Deputy Chief Minister Ajit Pawar in late January 2026. The tragedy has sparked intense speculation about a potential "Ghar Wapsi" or reunion between the rival NCP factions. However, Tatkare has emerged as a lightning rod for criticism from the Sharad Pawar-led NCP (NCP-SP), with leaders like Shashikant Shinde and Rohit Pawar accusing him of being a "blockade" acting at the behest of the BJP to prevent the party from coming back together. Addressing these allegations, Tatkare defended the party’s decision to remain aligned with the Bharatiya Janata Party (BJP) under the Mahayuti banner. “The BJP and the top leadership of NDA have given us a trust and the clarity that they would take us along ahead. We have even worked as part of the UPA earlier. I was the state president of the party even back then. We have closely experienced – and even suffered - the ill treatment mated to the allies there. We have also observed the BJP’s conduct since 2014,” Tatkare said while explain what went behind his party’s decision to go along with the BJP. While elaborating on the specific incidents that led to the beginning of the end, Tatkare gave a specific anecdote from the seat sharing talks with the Congress. “I was the state party chief and we were in seat sharing talks with Prithviraj Chavan representing the Congress. We wanted some seats exchanged. We were asked to furnish the list. Despite my suspicion and hence opposition, we shared the list. My nightmares came true. The Congress declared their candidates on all the seats. That was the first fissure within the MVA,” Tatkare said. He noted that unlike their experience with the Congress, the BJP has consistently followed "alliance conduct" and treated its partners with cordiality. He dismissed the reunification rumours as baseless, emphasising that the party is committed to carrying forward the ideology and political stand established by the late Ajit Pawar.

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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