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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Shinde ‘feasts’ on Thackeray’s party

AI generated image Mumbai: The Shiv Sena (UBT)’s worst fears proved true on Thursday when six suspected ‘turncoat’ MPs failed to attend its crucial parliamentary party meeting in New Delhi – signaling another ‘split’ in four years – and posing a serious challenge to ex-Chief Minister Uddhav Thackeray’s leadership and credibility. The crucial parliamentary party meeting saw only three (out of total 9) Lok Sabha MPs – Arvind Sawant (Mumbai South), Anil Desai (Mumbai South-Central) and...

Shinde ‘feasts’ on Thackeray’s party

AI generated image Mumbai: The Shiv Sena (UBT)’s worst fears proved true on Thursday when six suspected ‘turncoat’ MPs failed to attend its crucial parliamentary party meeting in New Delhi – signaling another ‘split’ in four years – and posing a serious challenge to ex-Chief Minister Uddhav Thackeray’s leadership and credibility. The crucial parliamentary party meeting saw only three (out of total 9) Lok Sabha MPs – Arvind Sawant (Mumbai South), Anil Desai (Mumbai South-Central) and Rajabhau Waje (Nashik) – in attendance as per a whip issued two days ago, when the so-called ‘Operation Tiger’ was in advanced stages. At the tense meeting, with their eyes trained on the doors, they waited for over an hour for their six LS colleagues - Sanjay Dina Patil (Mumbai North East), Nagesh Patil Ashtikar (Hingoli), Sanjay Jadhav (Parbhani), Omprakash Nimbalkar (Dharashiv), Sanjay Deshmukh (Yavatmal-Washim) and Bhausaheb Wakchaure (Shirdi) – who never turned up. Emerging from the meeting the ruffled trio of Raut, Sawant and Desai confronted the huge crowd of media-persons and announced what was already public knowledge – that the SS (UBT) was breaking again. A tense Sawant somehow managed to smile and said that since the 6 MPs have defied the party whip, they would face the appropriate consequences. “We have followed the procedures and sent them individual show-cause notices, seeking their replies within a week,” he said. Raut said that if they fail to reply to the show-cause notices, then the party will initiate the necessary proceedings – in the Parliament, the courts and the streets. Operation Tudva In a raging mood, Raut warned that the SS (UBT) workers will ‘teach’ all the six MPs a lesson and now the party had launched a counter ‘Operation Tudva’ – akin to a similar initiative implemented successfully by the (undivided) NCP in 2019. “They are unscrupulous, unprincipled traitors. We have been told that they have taken huge sums of money to break away from our party. They took Rs 15-cr. to board the chartered aircraft two days ago, and yesterday again took Rs 10-cr to go to an undisclosed destination in Rajasthan,” claimed Raut, his outburst splattered with expletives for the second day. He reiterated his demand that “if all the six MPs first resign from their seats and contest elections afresh, we shall not label them as traitors”, even as Nationalist Congress Party (SP) MLA Rohit Pawar alleged that each MP reportedly stood to make Rs 85-cr, plus more through other means. Threatening MPs Angry Shiv Sainiks burnt effigies of all the MPs in their respective constituencies and threatened of physical attacks or their properties, prompting the state government to accord them Y-Plus category security as per a wireless directives issued by the State Commissioner of Intelligence Shirish Jain today. Indicating deep fissures, the absence of the six MPs pointed to the likelihood of them officially preparing to align with the Shiv Sena led by Deputy CM Eknath Shinde marking success of the ‘Operation Tiger’. Yesterday, the rebels had called on Lok Sabha Speaker Om Birla and submitted a letter seeking to be recognized as a separate parliamentary group. The SS (UBT) also met the Speaker yesterday to submit a counter-letter and urged him to refrain from according any recognition to the breakaway group, and stick to the laws and Constitutional norms. However, if the Speaker accepts the rebels’ plea, it could formalize the impending ‘split’ and prove a huge setback for the SS (UBT). Eknath Shinde gets the “lion’s share” of SS (UBT) Prowling stealthily and effectively Shiv Sena President and Deputy CM Eknath Shinde ostensibly masterminded the ‘Operation Tiger’ and took away the lion’s share of 6 (out of 9) MPs from his bete-noire, ex-CM Uddhav Thackeray-led Shiv Sena (UBT) – for the second time in 4 years with lot of symbolism attached to the political man-hunt. Though party sources remained tight-lipped, it is learnt that Shinde’s ace team of political and legal advisors have gone through all the nitty-gritties, all the possibilities, the fallout in Parliament, the courts and the streets, before giving the green signal to strike at Thackeray’s party. On the next course, a party leader said that “only Shinde-ji has the authority” to decide and speak on this”, and he may well have some new aces up his trademark white-shirt sleeves in the coming days.

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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