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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

MPs rebellion ‘splits’ even some families

Mumbai: Amid the rebellion by 6 Shiv Sena (UBT) MPs, at least two of them have shot into the spotlight, but for entirely different and non-political reasons – Nagesh Patil-Ashtikar (Hingoli) and Sanjay Dina-Patil (Mumbai North-East). Despite their fathers currently in the process of shifting loyalties to the Shiv Sena headed by Deputy CM Eknath Shinde, the son and daughter, respectively, of both these MPs have chosen to stay anchored firmly with SS (UBT) President and ex-CM Uddhav Thackeray....

MPs rebellion ‘splits’ even some families

Mumbai: Amid the rebellion by 6 Shiv Sena (UBT) MPs, at least two of them have shot into the spotlight, but for entirely different and non-political reasons – Nagesh Patil-Ashtikar (Hingoli) and Sanjay Dina-Patil (Mumbai North-East). Despite their fathers currently in the process of shifting loyalties to the Shiv Sena headed by Deputy CM Eknath Shinde, the son and daughter, respectively, of both these MPs have chosen to stay anchored firmly with SS (UBT) President and ex-CM Uddhav Thackeray. They are Krishna Nagesh Patil-Ashtikar and Rajool Sanjay Patil and both are emerging politicians in their own right and with politically bright prospects. Rajool is a SS (UBT) Municipal Corporator from Ward No. 114 (Bhandup) in her father’ constituency, and Krishna is the official Maha Vikas Aghadi (MVA) candidate for the Nanded Local Authorities constituency in the Maharashtra Legislature’s upper house. However, the abrupt rebellion by their fathers - along with four other SS (UBT) MPs has raised question marks on their own loyalties and political moorings – with the MLCs election results scheduled on Monday. A Deputy Leader from Pune guardedly said that “the same norms under the anti-defection laws for parliament would apply” at all levels, preventing the duo (Krishna and Rajool) from following in their fathers’ footsteps. “After all, there are many examples where in the same family, different members owe allegiance to different political parties. They may have made their personal political calculations and survival before taking any plunge blindly in the name of ideology,” the leader told ‘The Perfect Voice’, requesting anonymity. A Mumbai leader averred that in case the political sand slips - for whatever reasons - in the ongoing defection drama, at least all in the family may not have to pay the price for a botch-up, as “these youngsters still have a long road ahead in politics”. On June 18, when Ashtikar’s name came among the six potential turncoats, Krishna faced an embarrassing situation as the MLC polling was underway that day. Krishna quickly mouthed bites to proclaim his allegiance to Thackeray and an equally bewildered Rajool - elected as a BMC corporator just six months ago - instantly declared her support to SS (UBT) and even joined a protest against her father’s decision. Both the youngsters confronting a peculiar family-cum-political divide put up brave faces and publicly claimed that they had “absolutely no inkling” of the political coup currently underway and are firmly with Thackeray. For the present, however, the SS (UBT) camp is somewhat relieved that the damage caused by the proposed exit of the 6 MPs has not percolated to their family members, affording it time to take some proactive measures to prevent a similar scenario in the coming times. SS (UBT) Deputy Leader dares MP’s son A skeptical SS (UBT) Deputy Leader Sushma Andhare and others immediately pounced on Krishna Ashtikar, questioning the credibility of his words after his father and party MP from Hingoli Nagesh Patil-Ashtikar’s plans to switch sides. “Go and perform your father’s funeral rituals (pind-daan) immediately to prove your claims that you are different from your father…” a livid Andhare dared Krishna, who retorted by saying that he is “answerable only to the SS (UBT) supremo and none else”.

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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