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21 August 2024 at 3:50:16 pm

Power Shield

When a 99 percent shareholder is not been made an accused in a controversial land deal but a one percent shareholder has been named as one, an investigation has some explaining to do. The Bombay High Court has now demanded that very explanation in the Mundhwa land case involving NCP MP Parth Pawar, son of the late Ajit Pawar, raising the eternal question whether political influence quietly alters the way in which the law of the land is applied. A democracy cannot have one standard of scrutiny...

Power Shield

When a 99 percent shareholder is not been made an accused in a controversial land deal but a one percent shareholder has been named as one, an investigation has some explaining to do. The Bombay High Court has now demanded that very explanation in the Mundhwa land case involving NCP MP Parth Pawar, son of the late Ajit Pawar, raising the eternal question whether political influence quietly alters the way in which the law of the land is applied. A democracy cannot have one standard of scrutiny for the politically connected and another for everyone else. Pawar, a Rajya Sabha MP, holds 99 percent of Amadea Enterprises LLP, the company that acquired the disputed land. The remaining 1 percent is held by Digvijay Patil, another partner and director who has been named as an accused. The land in question is a large government-controlled parcel in Pune. The company that acquired it is overwhelmingly owned by Pawar. The land is in Mundhwa, an increasingly valuable area of eastern Pune that has been transformed by the city’s rapid expansion. The parcel covers about 40 acres and has a complicated legal history. It was classified as Mahar Watan land - a historical category of land grant - and was in government possession and leased to the Botanical Survey of India. The FIR in the case alleges that it was transferred to Amadea Enterprises without the mandatory approval of the state government at knockoff prices far beyond market value. The transaction has subsequently faced scrutiny on several fronts. Authorities imposed about Rs. 21 crore in stamp duty and penalties on Amadea Enterprises; the company’s appeal against that order was rejected. A Pune civil court also ordered the sale deed cancelled, declaring it void from the beginning. So, what evidence led investigators to make such a stark distinction between the two shareholders? What was the precise basis on which investigators concluded that Pawar’s overwhelming stake in the company did not warrant the same scrutiny? The High Court had already raised the issue in September after a submission before it alleged that Pawar had not been named because he was “very highly influential.” The state is expected to protect public land, enforce its own rules and investigate alleged wrongdoing without fear or favour. Yet when the transaction involves the son of a senior political figure, the machinery of the state must now explain why its investigation appears to have stopped short of the person with the overwhelming economic interest in the company. Power is supposed to make public officials more accountable, not less. Political office is not a private shield and family connections are not a legal exemption. The ultimate scandal in the Mundhwa case would be the possibility that proximity to power can determine who gets investigated, who gets protected and who gets left carrying the blame.

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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