top of page

By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Kamble lusted for women, animals: Judgment

Mumbai: Pune rape-cum-murder convict Bhimrao Prabhakar Kamble, 65 - who was slapped with triple death sentences and triple life imprisonments - has emerged as a deeply depraved sexual predator who, according to the historic judgment of a Pune Special (POCSO) Court, spared neither women nor animals to satisfy his lust. The verdict records that he routinely "misbehaved" with farm animals and had once even attempted to have sexual intercourse with a goat. Special Judge S. R. Salunkhe sentenced...

Kamble lusted for women, animals: Judgment

Mumbai: Pune rape-cum-murder convict Bhimrao Prabhakar Kamble, 65 - who was slapped with triple death sentences and triple life imprisonments - has emerged as a deeply depraved sexual predator who, according to the historic judgment of a Pune Special (POCSO) Court, spared neither women nor animals to satisfy his lust. The verdict records that he routinely "misbehaved" with farm animals and had once even attempted to have sexual intercourse with a goat. Special Judge S. R. Salunkhe sentenced Kamble to be “hanged till death” and awarded life imprisonment on each of the principal charges of rape, murder and kidnapping, besides convicting him under various provisions of the Protection of Children from Sexual Offences (POCSO) Act. Describing the crimes as “brutal, inhuman and barbaric”, the court held that it fell within the “rarest of rare” category deserving the ultimate punishment. Hailing from Salwade village in Bhor taluka of Pune district, Kamble was notorious for persistently harassing women and exhibiting sexually deviant behaviour, eventually forcing villagers to socially ostracise and expel him years ago. Depraved Personality His disturbing conduct towards animals first surfaced in 1996, when he was grazing goats on a nearby hillock and allegedly attempted to have sex with one of them. He was caught in the act by another shepherd and the incident spread in the village like wildfire. Though Kamble is the father of seven daughters and one son, all now married, he was driven away from his family and the villagers after he was declared persona non grata. Thereafter, he drifted from village to village, surviving as a daily-wage labourer, taking up odd jobs for meagre wages and sleeping wherever he could find shelter. In 1998, he was accused of sexually harassing an elderly woman from his extended family and later in 2024, he again faced allegations of molesting his minor niece. Although he was acquitted in both cases, current investigators view a pattern in his long history of predatory behaviour. Labourer to Murderer Most recently, Kamble worked as a farm labourer by a farmer Sandeep Gayawal in Nasrapur, around six kms from his native Salwade. Gayawal had allowed him to sleep on a cot inside a tin storage shed adjoining a cowshed. From April 25, Kamble and five other labourers were engaged in transporting bricks for renovation work at a nearby Ram Temple. After discovering that Kamble had begun storing his personal belongings inside the tin shed, Gayawal ordered him to vacate the premises on April 30. On the morning of May 1, Kamble left his belongings near the temple and loitered around. It was there that he spotted the victim - a girl aged three years and two months - playing with other children, but subsequent events serve as a grim lesson to all parents who allow their children to play outside but fail to keep an eye on them. The victim and her six-year-old elder sister had come from Dhayari village, nearly 20 kms from Narsapur, to spend summer vacation with their grandmother. Belonging to a priest’s family, the grandmother performed all rituals and managed the temple since the death of her husband in 2022. Incidentally, Gayawal was their neighbour. One of his four cows had recently calved, and the victim, her sister and other neighbourhood children frequently visited the cowshed to play with the newborn calf, which was tethered beside the same tin shed where Kamble had been staying. Black Day On the afternoon of May 1, the children were playing hide-and-seek around the temple precincts when Kamble targeted the little girl. Waiting till she was left alone inside the temple, he hurled bricks and drove away the other children, before implementing his nasty and lusty plans. Investigators later pieced together, through CCTV footage and other forensic evidence, that over the next 39 minutes, Kamble committed the horrific sexual assault before murdering the child, and again indulging in sex with her body. Meanwhile, at around 4 pm, when the grandmother realised the child was missing, an extensive search began, and other residents combed through CCTV footage. Initially they spotted a man dressed in white carrying a large bag. Suspecting he had kidnapped the girl, the villagers intercepted him, only to discover that the bag contained nothing more than loaves of bread, and he was allowed to leave. Probe End Soon afterwards, officers from Rajgad Police Station joined the investigation. CCTV footage from a neighbouring property showed Kamble emerging from a public water tank area before approaching the Munjoba Temple, where he was seen taking the child's hand and leading her towards Gayawal's tin shed - the very place from which he had been evicted a day earlier – and 39 minutes later, the footage captured him walking out alone. Suspicious villagers eventually found Kamble sitting casually on a bench near the Kalubai Temple. During questioning by Gayawal and others, he confessed to the crime, terming it as ‘a mistake’ as outrage erupted all over the state.

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.)

Comments

bottom of page