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By:

Quaid Najmi

4 January 2025 at 8:56:24 pm

Man gets death for minor’s rape, murder

Mumbai | Nashik: A Nashik Special Fast Track Court has awarded the death sentence to a 25-year old man who was convicted last week for luring a 4-year-old girl with a chocolate, kidnapping, raping and murdering her, here on Friday. Terming the case as the ‘rarest of rare’ crimes, the Special Judge K. D. Paldewar – who had found Vijay Sanjay Khairnar guilty of kidnap, sexual assault and murdering the child on Sep. 30 but reserved the verdict after the final arguments on Oct. 7 – pronounced the...

Man gets death for minor’s rape, murder

Mumbai | Nashik: A Nashik Special Fast Track Court has awarded the death sentence to a 25-year old man who was convicted last week for luring a 4-year-old girl with a chocolate, kidnapping, raping and murdering her, here on Friday. Terming the case as the ‘rarest of rare’ crimes, the Special Judge K. D. Paldewar – who had found Vijay Sanjay Khairnar guilty of kidnap, sexual assault and murdering the child on Sep. 30 but reserved the verdict after the final arguments on Oct. 7 – pronounced the capital punishment today. He also slapped a fine of Rs 10 lakhs as compensation to the victim’s family, hailing from Dongrale village before a packed courtroom where the villagers, the victim’s family and others were present. Emerging from the courtroom after the verdict, Special Public Prosecutor Ujjwal Nikam told the media that “the Court had considered the gravity of the crime and the circumstantial evidence establishing Khairnar’s involvement” while deciding the sentence. The Court did not take into account the convict’s poverty – he was a daily wager – or illiteracy as grounds for leniency, added the ace criminal lawyer. It was on Nov. 16, 2025 in Dongrale village of Malegaon taluka when Khairnar lured the little girl on the promise of giving her a chocolate and took her to a desolate spot to carry out his devious plans. Betraying the trust of the child who used to call him ‘dada’ (elder brother) due to their acquaintance, Khairnar sexually assaulted her, killed her and abandoned her before decamping from there. A few hours later, the child’s body was found dumped in a nullah and the police were summoned. As details of the gruesome crime tumbled out and spread, it ignited widespread public outrage all over the state. The police swung into action, formed several probe teams and managed to track down Khairnar from his hideout within a few hours. Considering the sensitivity of the crime, the strong emotions plus the mass furore it created, the state government assigned the case to a fast-track court, assigned Nikam as the SPP and the matter was heard speedily. The SPP aggressively led the prosecution, arguing in the court that in view of the gravity of the crime, the circumstances leading to it and other aspects, it warranted the severest punishment – death – for Khairnar, irrespective of his age or financial status. The Dongrale villagers stood in solidarity with the victim’s family and they raised a chorus for quick investigations, an expeditious trial and slapping the death penalty on the convict to serve as a strong deterrent to potential offenders. As per the Indian law, the trial court’s verdict will now go to the Bombay High Court for confirmation. Political leaders from different parties hailed the court verdict and said “justice has finally been done to the victim’s family”.

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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