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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Sunetra Pawar has taken charge, but challenges remain

Mumbai: Days after taking oath as Maharashtra’s first woman Deputy CM, Sunetra Ajit Pawar was unanimously elected president of the Nationalist Congress Party (NCP). This was another major responsibility on her shoulders just a month after her husband’s tragic death in the Baramati air crash. For decades, Sunetra, popular as ‘Vahini’ or just ‘Tai’, chose to be the silent force behind her husband. But she remained accessible, grounded and attentive to the people of Baramati. Sunetra quietly...

Sunetra Pawar has taken charge, but challenges remain

Mumbai: Days after taking oath as Maharashtra’s first woman Deputy CM, Sunetra Ajit Pawar was unanimously elected president of the Nationalist Congress Party (NCP). This was another major responsibility on her shoulders just a month after her husband’s tragic death in the Baramati air crash. For decades, Sunetra, popular as ‘Vahini’ or just ‘Tai’, chose to be the silent force behind her husband. But she remained accessible, grounded and attentive to the people of Baramati. Sunetra quietly built institutions of sustainability, empowering rural youth, women and farmers, and addressed environmental concerns. Earning awards and accolades, she continued in a similar vein until the NCP suddenly split apart in July 2023 and Ajit Pawar fielded her in the 2024 Lok Sabha polls from Baramati. Her opponent was her sister-in-law and the Nationalist Congress Party (SP) Working President Supriya Sule, who easily snatched victory. Barely months later, Sunetra waltzed into the Rajya Sabha with a nudge from the BJP, signalling new political equations. Challenges ahead Sunetra Pawar faces multiple challenges within the party, government, politics and family. There’s a dreaded, but not fully identified, ‘chandal chaukdi’ (gang of four), referred to by all, that’s hyper-active after Ajit Pawar’s death. This can test her authority. Here, Sunetra will have to assert herself and make efforts to carve her independent niche in politics. The sympathy factor may soon evaporate. Another question is whether Sunetra will initiate a ‘merger’ of the two NCPs. This was said to be the ‘desire’ of Ajit Pawar. A close family friend and retired IPS officer, Vikram Bokey, described Sunetra as ‘a gem of a human being, extremely poised, cultured, and with a highly educated background’. “The state witnessed her suddenly blossom into a leader after Ajit Pawar’s tragic passing… She has rekindled hopes among the masses. The people view her as the ideal candidate for the top (CM) post,” Bokey told The Perfect Voice . Sunetra – A village girl who became deputy CM Born on 18 October 1963, Sunetra hails from an influential political family. Her step-brother, Dr Padamsinh Patil, straddled state and national politics with ease for decades. She completed her BA, married Ajit Pawar in 1985, but chose to prioritise family and motherhood and only much later (2024) marked her reluctant political entry to support her spouse. She is a trustee of Vidya Pratishthan, chairperson of Baramati Hi-Tech Textile Park, and a member of the World Entrepreneurship Forum, a French think-tank. She launched the Environmental Forum of India (2010).

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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